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Shivarudrappa AH, John J, Vashisht M, Ge H, Liu S, Chen J, Siddoway K, Dong R, Chen Z, Wang JH. Differential tumor immune microenvironment coupled with tumor progression or tumor eradication in HPV-antigen expressing squamous cell carcinoma (SCC) models. Front Immunol 2024; 15:1405318. [PMID: 39055715 PMCID: PMC11269233 DOI: 10.3389/fimmu.2024.1405318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/10/2024] [Indexed: 07/27/2024] Open
Abstract
Human papilloma virus (HPV) is an etiological factor of head and neck squamous cell carcinoma (HNSCC). To investigate the role of HPV antigen in anti-tumor immunity, we established mouse models by expressing HPV16 E6 and E7 in a SCC tumor cell line. We obtained two HPV antigen-expressing clones (C-225 and C-100) transplantable into C57BL/6 recipients. We found that C-225 elicited complete eradication in C57BL/6 mice (eradicated), whereas C-100 grew progressively (growing). We examined immune tumor microenvironment (TME) using flow cytometry and found that eradicated or growing tumors exhibited differential immune profiles that may influence the outcome of anti-tumor immunity. Surprisingly, the percentage of CD8 and CD4 tumor-infiltrating lymphocytes (TILs) was much higher in growing (C-100) than eradicated (C-225) tumor. However, the TILs upregulated PD-1 and LAG-3 more potently and exhibited impaired effector functions in growing tumor compared to their counterparts in eradicated tumor. C-225 TME is highly enriched with myeloid cells, especially polymorphonuclear (PMN) myeloid-derived suppressor cells (MDSC), whereas the percentage of M-MDSC and tumor-associated macrophages (TAMs) was much higher in C-100 TME, especially M2-TAMs (CD206+). The complete eradication of C-225 depended on CD8 T cells and elicited anti-tumor memory responses upon secondary tumor challenge. We employed DNA sequencing to identify differences in the T cell receptor of peripheral blood lymphocytes pre- and post-secondary tumor challenge. Lastly, C-225 and C-100 tumor lines harbored different somatic mutations. Overall, we uncovered differential immune TME that may underlie the divergent outcomes of anti-tumor immunity by establishing two SCC tumor lines, both of which express HPV16 E6 and E7 antigens. Our experimental models may provide a platform for pinpointing tumor-intrinsic versus host-intrinsic differences in orchestrating an immunosuppressive TME in HNSCCs and for identifying new targets that render tumor cells vulnerable to immune attack.
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Affiliation(s)
- Arpitha H. Shivarudrappa
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Jessy John
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Monika Vashisht
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Huaibin Ge
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Silvia Liu
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Jingxin Chen
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Karen Siddoway
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Rui Dong
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- School of Medicine, Tsinghua University, Beijing, China
| | - Zhangguo Chen
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Jing H. Wang
- University of Pittsburgh Medical Center UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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2
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Wang K, Cai L, Wang H, Shan S, Hu X, Zhang J. Protocol for fast clonal family inference and analysis from large-scale B cell receptor repertoire sequencing data. STAR Protoc 2024; 5:102969. [PMID: 38502687 PMCID: PMC10963638 DOI: 10.1016/j.xpro.2024.102969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/26/2024] [Accepted: 03/03/2024] [Indexed: 03/21/2024] Open
Abstract
The expeditious identification and comprehensive analysis of clonal families from extensive B cell receptor (BCR) repertoire sequencing data are imperative for elucidating the intricacies of B cell immune responses. Here, we introduce a computational pipeline designed to swiftly deduce clonal families from bulk BCR heavy-chain sequencing data, accompanied by a suite of functional modules tailored to streamline post-clustering analysis. The outlined methodology encompasses guidelines for software installation, meticulous data preparation, and the systematic inference and analysis of clonal families. For complete details on the use and execution of this protocol, please refer to Wang et al.1.
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Affiliation(s)
- Kaixuan Wang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Linru Cai
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Hao Wang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Georgia Tech Shenzhen Institute (GTSI), Tianjin University, Shenzhen, Guangdong, China
| | - Shiwen Shan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xihao Hu
- GV20 Therapeutics, Cambridge, MA, USA
| | - Jian Zhang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
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3
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Khosravi G, Mostafavi S, Bastan S, Ebrahimi N, Gharibvand RS, Eskandari N. Immunologic tumor microenvironment modulators for turning cold tumors hot. Cancer Commun (Lond) 2024; 44:521-553. [PMID: 38551889 PMCID: PMC11110955 DOI: 10.1002/cac2.12539] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/03/2024] [Accepted: 03/12/2024] [Indexed: 05/23/2024] Open
Abstract
Tumors can be classified into distinct immunophenotypes based on the presence and arrangement of cytotoxic immune cells within the tumor microenvironment (TME). Hot tumors, characterized by heightened immune activity and responsiveness to immune checkpoint inhibitors (ICIs), stand in stark contrast to cold tumors, which lack immune infiltration and remain resistant to therapy. To overcome immune evasion mechanisms employed by tumor cells, novel immunologic modulators have emerged, particularly ICIs targeting cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1/programmed death-ligand 1(PD-1/PD-L1). These agents disrupt inhibitory signals and reactivate the immune system, transforming cold tumors into hot ones and promoting effective antitumor responses. However, challenges persist, including primary resistance to immunotherapy, autoimmune side effects, and tumor response heterogeneity. Addressing these challenges requires innovative strategies, deeper mechanistic insights, and a combination of immune interventions to enhance the effectiveness of immunotherapies. In the landscape of cancer medicine, where immune cold tumors represent a formidable hurdle, understanding the TME and harnessing its potential to reprogram the immune response is paramount. This review sheds light on current advancements and future directions in the quest for more effective and safer cancer treatment strategies, offering hope for patients with immune-resistant tumors.
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Affiliation(s)
- Gholam‐Reza Khosravi
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Samaneh Mostafavi
- Department of ImmunologyFaculty of Medical SciencesTarbiat Modares UniversityTehranIran
| | - Sanaz Bastan
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Narges Ebrahimi
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Roya Safari Gharibvand
- Department of ImmunologySchool of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Nahid Eskandari
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
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Chi H, Pepper M, Thomas PG. Principles and therapeutic applications of adaptive immunity. Cell 2024; 187:2052-2078. [PMID: 38670065 PMCID: PMC11177542 DOI: 10.1016/j.cell.2024.03.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024]
Abstract
Adaptive immunity provides protection against infectious and malignant diseases. These effects are mediated by lymphocytes that sense and respond with targeted precision to perturbations induced by pathogens and tissue damage. Here, we review key principles underlying adaptive immunity orchestrated by distinct T cell and B cell populations and their extensions to disease therapies. We discuss the intracellular and intercellular processes shaping antigen specificity and recognition in immune activation and lymphocyte functions in mediating effector and memory responses. We also describe how lymphocytes balance protective immunity against autoimmunity and immunopathology, including during immune tolerance, response to chronic antigen stimulation, and adaptation to non-lymphoid tissues in coordinating tissue immunity and homeostasis. Finally, we discuss extracellular signals and cell-intrinsic programs underpinning adaptive immunity and conclude by summarizing key advances in vaccination and engineering adaptive immune responses for therapeutic interventions. A deeper understanding of these principles holds promise for uncovering new means to improve human health.
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Affiliation(s)
- Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Marion Pepper
- Department of Immunology, University of Washington, Seattle, WA, USA.
| | - Paul G Thomas
- Department of Host-Microbe Interactions and Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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Ribeiro-Filho HV, Jara GE, Guerra JVS, Cheung M, Felbinger NR, Pereira JGC, Pierce BG, Lopes-de-Oliveira PS. Exploring the Potential of Structure-Based Deep Learning Approaches for T cell Receptor Design. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.19.590222. [PMID: 38712216 PMCID: PMC11071404 DOI: 10.1101/2024.04.19.590222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Deep learning methods, trained on the increasing set of available protein 3D structures and sequences, have substantially impacted the protein modeling and design field. These advancements have facilitated the creation of novel proteins, or the optimization of existing ones designed for specific functions, such as binding a target protein. Despite the demonstrated potential of such approaches in designing general protein binders, their application in designing immunotherapeutics remains relatively unexplored. A relevant application is the design of T cell receptors (TCRs). Given the crucial role of T cells in mediating immune responses, redirecting these cells to tumor or infected target cells through the engineering of TCRs has shown promising results in treating diseases, especially cancer. However, the computational design of TCR interactions presents challenges for current physics-based methods, particularly due to the unique natural characteristics of these interfaces, such as low affinity and cross-reactivity. For this reason, in this study, we explored the potential of two structure-based deep learning protein design methods, ProteinMPNN and ESM-IF, in designing fixed-backbone TCRs for binding target antigenic peptides presented by the MHC through different design scenarios. To evaluate TCR designs, we employed a comprehensive set of sequence- and structure-based metrics, highlighting the benefits of these methods in comparison to classical physics-based design methods and identifying deficiencies for improvement.
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Affiliation(s)
- Helder V. Ribeiro-Filho
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil
| | - Gabriel E. Jara
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil
| | - João V. S. Guerra
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil
- Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, 13083-871, Brazil
| | - Melyssa Cheung
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA
- Department of Chemistry and Biochemistry, University of Maryland, College Park, Maryland 20742, USA
| | - Nathaniel R. Felbinger
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA
| | - José G. C. Pereira
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil
| | - Brian G. Pierce
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA
| | - Paulo S. Lopes-de-Oliveira
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil
- Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, 13083-871, Brazil
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6
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Tong J, Song J, Zhang W, Zhai J, Guan Q, Wang H, Liu G, Zheng C. When DNA-damage responses meet innate and adaptive immunity. Cell Mol Life Sci 2024; 81:185. [PMID: 38630271 PMCID: PMC11023972 DOI: 10.1007/s00018-024-05214-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 04/19/2024]
Abstract
When cells proliferate, stress on DNA replication or exposure to endogenous or external insults frequently results in DNA damage. DNA-Damage Response (DDR) networks are complex signaling pathways used by multicellular organisms to prevent DNA damage. Depending on the type of broken DNA, the various pathways, Base-Excision Repair (BER), Nucleotide Excision Repair (NER), Mismatch Repair (MMR), Homologous Recombination (HR), Non-Homologous End-Joining (NHEJ), Interstrand Crosslink (ICL) repair, and other direct repair pathways, can be activated separately or in combination to repair DNA damage. To preserve homeostasis, innate and adaptive immune responses are effective defenses against endogenous mutation or invasion by external pathogens. It is interesting to note that new research keeps showing how closely DDR components and the immune system are related. DDR and immunological response are linked by immune effectors such as the cyclic GMP-AMP synthase (cGAS)-Stimulator of Interferon Genes (STING) pathway. These effectors act as sensors of DNA damage-caused immune response. Furthermore, DDR components themselves function in immune responses to trigger the generation of inflammatory cytokines in a cascade or even trigger programmed cell death. Defective DDR components are known to disrupt genomic stability and compromise immunological responses, aggravating immune imbalance and leading to serious diseases such as cancer and autoimmune disorders. This study examines the most recent developments in the interaction between DDR elements and immunological responses. The DDR network's immune modulators' dual roles may offer new perspectives on treating infectious disorders linked to DNA damage, including cancer, and on the development of target immunotherapy.
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Affiliation(s)
- Jie Tong
- College of Life Science, Hebei University, Baoding, 071002, China
- Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China
| | - Jiangwei Song
- Beijing Key Laboratory for Prevention and Control of Infectious Diseases in Livestock and Poultry, Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100089, China
| | - Wuchao Zhang
- College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China
| | - Jingbo Zhai
- Key Laboratory of Zoonose Prevention and Control at Universities of Inner Mongolia Autonomous Region, Medical College, Inner Mongolia Minzu University, Tongliao, 028000, China
| | - Qingli Guan
- The Affiliated Hospital of Chinese PLA 80th Group Army, Weifang, 261000, China
| | - Huiqing Wang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Gentao Liu
- Department of Oncology, Tenth People's Hospital Affiliated to Tongji University & Cancer Center, Tongji University School of Medicine, Shanghai, 20000, China.
| | - Chunfu Zheng
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
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7
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Saponjic J, Mejías R, Nikolovski N, Dragic M, Canak A, Papoutsopoulou S, Gürsoy-Özdemir Y, Fladmark KE, Ntavaroukas P, Bayar Muluk N, Zeljkovic Jovanovic M, Fontán-Lozano Á, Comi C, Marino F. Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson's Disease. Int J Mol Sci 2024; 25:4330. [PMID: 38673915 PMCID: PMC11050170 DOI: 10.3390/ijms25084330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Parkinson's disease (PD) is a chronic, age-related, progressive multisystem disease associated with neuroinflammation and immune dysfunction. This review discusses the methodological approaches used to study the changes in central and peripheral immunity in PD, the advantages and limitations of the techniques, and their applicability to humans. Although a single animal model cannot replicate all pathological features of the human disease, neuroinflammation is present in most animal models of PD and plays a critical role in understanding the involvement of the immune system (IS) in the pathogenesis of PD. The IS and its interactions with different cell types in the central nervous system (CNS) play an important role in the pathogenesis of PD. Even though culture models do not fully reflect the complexity of disease progression, they are limited in their ability to mimic long-term effects and need validation through in vivo studies. They are an indispensable tool for understanding the interplay between the IS and the pathogenesis of this disease. Understanding the immune-mediated mechanisms may lead to potential therapeutic targets for the treatment of PD. We believe that the development of methodological guidelines for experiments with animal models and PD patients is crucial to ensure the validity and consistency of the results.
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Affiliation(s)
- Jasna Saponjic
- Department of Neurobiology, Institute of Biological Research “Sinisa Stankovic”, National Institute of the Republic of Serbia, University of Belgrade, 11108 Belgrade, Serbia
| | - Rebeca Mejías
- Department of Physiology, School of Biology, University of Seville, 41012 Seville, Spain; (R.M.); (Á.F.-L.)
- Instituto de Biomedicina de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, CSIC, Universidad de Sevilla, 41013 Seville, Spain
| | - Neda Nikolovski
- Department of Immunology, Institute for Biological Research “Siniša Stanković”, National Institute of the Republic of Serbia, University of Belgrade, 11108 Belgrade, Serbia;
| | - Milorad Dragic
- Laboratory for Neurobiology, Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, 11000 Belgrade, Serbia; (M.D.); (M.Z.J.)
- Department of Molecular Biology and Endocrinology, Vinca Institute of Nuclear Sciences–National Institute of the Republic of Serbia, University of Belgrade, 11351 Belgrade, Serbia
| | - Asuman Canak
- Department of Medical Services and Techniques, Vocational School of Health Services, Recep Tayyip Erdogan University, Rize 53100, Turkey;
| | - Stamatia Papoutsopoulou
- Department of Biochemistry and Biotechnology, Faculty of Health Sciences, University of Thessaly, Biopolis, 41500 Larisa, Greece; (S.P.); (P.N.)
| | | | - Kari E. Fladmark
- Department of Biological Science, University of Bergen, 5020 Bergen, Norway;
| | - Panagiotis Ntavaroukas
- Department of Biochemistry and Biotechnology, Faculty of Health Sciences, University of Thessaly, Biopolis, 41500 Larisa, Greece; (S.P.); (P.N.)
| | - Nuray Bayar Muluk
- Department of Otorhinolaryngology, Faculty of Medicine, Kirikkale University, Kirikkale 71450, Turkey;
| | - Milica Zeljkovic Jovanovic
- Laboratory for Neurobiology, Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, 11000 Belgrade, Serbia; (M.D.); (M.Z.J.)
| | - Ángela Fontán-Lozano
- Department of Physiology, School of Biology, University of Seville, 41012 Seville, Spain; (R.M.); (Á.F.-L.)
- Instituto de Biomedicina de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, CSIC, Universidad de Sevilla, 41013 Seville, Spain
| | - Cristoforo Comi
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy;
| | - Franca Marino
- Center for Research in Medical Pharmacology, School of Medicine, University of Insubria, 21100 Varese, Italy;
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Bin Y, Ren J, Zhang H, Zhang T, Liu P, Xin Z, Yang H, Feng Z, Chen Z, Zhang H. Against all odds: The road to success in the development of human immune reconstitution mice. Animal Model Exp Med 2024. [PMID: 38591343 DOI: 10.1002/ame2.12407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/17/2024] [Indexed: 04/10/2024] Open
Abstract
The mouse genome has a high degree of homology with the human genome, and its physiological, biochemical, and developmental regulation mechanisms are similar to those of humans; therefore, mice are widely used as experimental animals. However, it is undeniable that interspecies differences between humans and mice can lead to experimental errors. The differences in the immune system have become an important factor limiting current immunological research. The application of immunodeficient mice provides a possible solution to these problems. By transplanting human immune cells or tissues, such as peripheral blood mononuclear cells or hematopoietic stem cells, into immunodeficient mice, a human immune system can be reconstituted in the mouse body, and the engrafted immune cells can elicit human-specific immune responses. Researchers have been actively exploring the development and differentiation conditions of host recipient animals and grafts in order to achieve better immune reconstitution. Through genetic engineering methods, immunodeficient mice can be further modified to provide a favorable developmental and differentiation microenvironment for the grafts. From initially only being able to reconstruct single T lymphocyte lineages, it is now possible to reconstruct lymphoid and myeloid cells, providing important research tools for immunology-related studies. In this review, we compare the differences in immune systems of humans and mice, describe the development history of human immune reconstitution from the perspectives of immunodeficient mice and grafts, and discuss the latest advances in enhancing the efficiency of human immune cell reconstitution, aiming to provide important references for immunological related researches.
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Affiliation(s)
- Yixiao Bin
- School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, China
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Jing Ren
- School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, China
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Haowei Zhang
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, China
| | - Tianjiao Zhang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Peijuan Liu
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Zhiqian Xin
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Haijiao Yang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Zhuan Feng
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Zhinan Chen
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
| | - Hai Zhang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi'an, China
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9
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Oh T, Kang GS, Jo HJ, Park HJ, Lee YR, Ahn GO. DNA-dependent protein kinase regulates cytosolic double-stranded DNA secretion from irradiated macrophages to increase radiosensitivity of tumors. Radiother Oncol 2024; 193:110111. [PMID: 38286241 DOI: 10.1016/j.radonc.2024.110111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
BACKGROUND AND PURPOSE To investigate the molecular mechanism by which irradiated macrophages secrete cytosolic double-stranded DNA (c-dsDNA) to increase radiosensitivity of tumors. MATERIALS AND METHODS Irradiated bone marrow-derived macrophages (BMDM) were co-incubated with irradiated EO771 or MC38 cancer cells to determine clonogenic survival. c-dsDNA were measured by agarose gel or enzyme-linked immunosorbent assay. BMDM or cancer cells were analyzed with immunostaining or western blot. Subcutaneously implanted MC38 cells in myeloid-specific Prkdc knockout (KO) mice or littermate control mice were irradiated with 8 Gy to determine radiosensitivity of tumors. RESULTS We observed that irradiated BMDM significantly increased radiosensitivity of cancer cells. By performing immunostaining, we found that there was a dose-dependent increase in the formation of c-dsDNA and phosphorylation in DNA-dependent protein kinase (DNA-PK) in irradiated BMDM. Importantly, c-dsDNA in irradiated BMDM could be secreted to the extracellular milieu and this process required DNA-PK, which phosphorylated myosin light chain to regulate the secretion. The secreted c-dsDNA from irradiated BMDM then activated toll-like receptor-9 and subsequent nuclear factor kappa-light-chain-enhancer of activated B cells signaling in the adjacent cancer cells inhibiting radiation-induced DNA double strand break repair. Lastly, we observed that irradiated tumors in vivo had a significantly increased number of tumor-associated macrophages (TAM) with phosphorylated DNA-PK expression in the cytosol. Furthermore, tumors grown in myeloid-specific Prkdc KO mice, in which TAM lacked phosphorylated DNA-PK expression were significantly more radioresistant than those of the wild-type control mice. CONCLUSIONS Irradiated macrophages can increase antitumor efficacy of radiotherapy through secretion of c-dsDNA under the regulation of DNA-PK.
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Affiliation(s)
- Taerim Oh
- College of Veterinary Medicine, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
| | - Gi-Sue Kang
- College of Veterinary Medicine, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
| | - Hye-Ju Jo
- College of Veterinary Medicine, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
| | - Hye-Joon Park
- College of Medicine, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea
| | - Ye-Rim Lee
- College of Veterinary Medicine, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
| | - G-One Ahn
- College of Veterinary Medicine, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea; College of Medicine, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
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10
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Culberson EJ, Shields KC, Glynn RA, Allyn BM, Hayer KE, Bassing CH. The Cyclin D3 Protein Enforces Monogenic TCRβ Expression by Mediating TCRβ Protein-Signaled Feedback Inhibition of Vβ Recombination. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:534-540. [PMID: 38117277 PMCID: PMC10872516 DOI: 10.4049/jimmunol.2300623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023]
Abstract
In jawed vertebrates, adaptive immunity depends on the process of V(D)J recombination creating vast numbers of T and B lymphocytes that each expresses unique Ag receptors of uniform specificity. The asynchronous initiation of V-to-(D)J rearrangement between alleles and the resulting protein from one allele signaling feedback inhibition of V recombination on the other allele ensures homogeneous receptor specificity of individual cells. Upon productive Vβ-to-DβJβ rearrangements in noncycling double-negative thymocytes, TCRβ protein signals induction of the cyclin D3 protein to accelerate cell cycle entry, thereby driving proliferative expansion of developing αβ T cells. Through undetermined mechanisms, the inactivation of cyclin D3 in mice causes an increased frequency of αβ T cells that express TCRβ proteins from both alleles, producing lymphocytes of heterogeneous specificities. To determine how cyclin D3 enforces monogenic TCRβ expression, we used our mouse lines with enhanced rearrangement of specific Vβ segments due to replacement of their poor-quality recombination signal sequence (RSS) DNA elements with a better RSS. We show that cyclin D3 inactivation in these mice elevates the frequencies of αβ T cells that display proteins from RSS-augmented Vβ segments on both alleles. By assaying mature αβ T cells, we find that cyclin D3 deficiency increases the levels of Vβ rearrangements that occur within developing thymocytes. Our data demonstrate that a component of the cell cycle machinery mediates TCRβ protein-signaled feedback inhibition in thymocytes to achieve monogenic TCRβ expression and resulting uniform specificity of individual αβ T cells.
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Affiliation(s)
- Erica J. Culberson
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Kymberle C. Shields
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Rebecca A. Glynn
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Brittney M. Allyn
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Immunology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Katharina E. Hayer
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Biomedical Engineering Doctoral Degree Program, School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA 19104
| | - Craig H. Bassing
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Immunology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
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11
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Mastrogiovanni M, Martínez-Navarro FJ, Bowman TV, Cayuela ML. Inflammation in Development and Aging: Insights from the Zebrafish Model. Int J Mol Sci 2024; 25:2145. [PMID: 38396822 PMCID: PMC10889087 DOI: 10.3390/ijms25042145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 02/25/2024] Open
Abstract
Zebrafish are an emergent animal model to study human diseases due to their significant genetic similarity to humans, swift development, and genetic manipulability. Their utility extends to the exploration of the involvement of inflammation in host defense, immune responses, and tissue regeneration. Additionally, the zebrafish model system facilitates prompt screening of chemical compounds that affect inflammation. This study explored the diverse roles of inflammatory pathways in zebrafish development and aging. Serving as a crucial model, zebrafish provides insights into the intricate interplay of inflammation in both developmental and aging contexts. The evidence presented suggests that the same inflammatory signaling pathways often play instructive or beneficial roles during embryogenesis and are associated with malignancies in adults.
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Affiliation(s)
- Marta Mastrogiovanni
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Gottesman Institute for Stem Cell Biology and Regenerative Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Francisco Juan Martínez-Navarro
- Grupo de Telomerasa, Cáncer y Envejecimiento, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria-Arrixaca, 30120 Murcia, Spain
| | - Teresa V. Bowman
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Gottesman Institute for Stem Cell Biology and Regenerative Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - María L. Cayuela
- Grupo de Telomerasa, Cáncer y Envejecimiento, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria-Arrixaca, 30120 Murcia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, 30100 Murcia, Spain
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12
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Allyn BM, Hayer KE, Oyeniran C, Nganga V, Lee K, Mishra B, Sacan A, Oltz EM, Bassing CH. Locus folding mechanisms determine modes of antigen receptor gene assembly. J Exp Med 2024; 221:e20230985. [PMID: 38189780 PMCID: PMC10772921 DOI: 10.1084/jem.20230985] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/12/2023] [Accepted: 12/15/2023] [Indexed: 01/09/2024] Open
Abstract
The dynamic folding of genomes regulates numerous biological processes, including antigen receptor (AgR) gene assembly. We show that, unlike other AgR loci, homotypic chromatin interactions and bidirectional chromosome looping both contribute to structuring Tcrb for efficient long-range V(D)J recombination. Inactivation of the CTCF binding element (CBE) or promoter at the most 5'Vβ segment (Trbv1) impaired loop extrusion originating locally and extending to DβJβ CBEs at the opposite end of Tcrb. Promoter or CBE mutation nearly eliminated Trbv1 contacts and decreased RAG endonuclease-mediated Trbv1 recombination. Importantly, Trbv1 rearrangement can proceed independent of substrate orientation, ruling out scanning by DβJβ-bound RAG as the sole mechanism of Vβ recombination, distinguishing it from Igh. Our data indicate that CBE-dependent generation of loops cooperates with promoter-mediated activation of chromatin to juxtapose Vβ and DβJβ segments for recombination through diffusion-based synapsis. Thus, the mechanisms that fold a genomic region can influence molecular processes occurring in that space, which may include recombination, repair, and transcriptional programming.
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Affiliation(s)
- Brittney M. Allyn
- Immunology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katharina E. Hayer
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Biomedical Engineering Doctoral Degree Program, School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA
| | - Clement Oyeniran
- Department of Microbial Infection and Immunity, Ohio State College of Medicine, Ohio State University, Columbus, OH, USA
| | - Vincent Nganga
- Department of Microbial Infection and Immunity, Ohio State College of Medicine, Ohio State University, Columbus, OH, USA
| | - Kyutae Lee
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bikash Mishra
- Department of Microbial Infection and Immunity, Ohio State College of Medicine, Ohio State University, Columbus, OH, USA
| | - Ahmet Sacan
- Biomedical Engineering Doctoral Degree Program, School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA
| | - Eugene M. Oltz
- Department of Microbial Infection and Immunity, Ohio State College of Medicine, Ohio State University, Columbus, OH, USA
| | - Craig H. Bassing
- Immunology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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13
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Bin Y, Wei S, Chen R, Zhang H, Ren J, Liu P, Xin Z, Zhang T, Yang H, Wang K, Feng Z, Sun X, Chen Z, Zhang H. Dclre1c-Mutation-Induced Immunocompromised Mice Are a Novel Model for Human Xenograft Research. Biomolecules 2024; 14:180. [PMID: 38397417 PMCID: PMC10887050 DOI: 10.3390/biom14020180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/20/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024] Open
Abstract
Severe combined immunodeficient (SCID) mice serve as a critical model for human xenotransplantation studies, yet they often suffer from low engraftment rates and susceptibility to graft-versus-host disease (GVHD). Moreover, certain SCID strains demonstrate 'immune leakage', underscoring the need for novel model development. Here, we introduce an SCID mouse model with a targeted disruption of the dclre1c gene, encoding Artemis, which is essential for V(D)J recombination and DNA repair during T cell receptor (TCR) and B cell receptor (BCR) assembly. Artemis deficiency precipitates a profound immunodeficiency syndrome, marked by radiosensitivity and compromised T and B lymphocyte functionality. Utilizing CRISPR/Cas9-mediated gene editing, we generated dclre1c-deficient mice with an NOD genetic background. These mice exhibited a radiosensitive SCID phenotype, with pronounced DNA damage and defective thymic, splenic and lymph node development, culminating in reduced T and B lymphocyte populations. Notably, both cell lines and patient-derived tumor xenografts were successfully engrafted into these mice. Furthermore, the human immune system was effectively rebuilt following peripheral blood mononuclear cells (PBMCs) transplantation. The dclre1c-knockout NOD mice described herein represent a promising addition to the armamentarium of models for xenotransplantation, offering a valuable platform for advancing human immunobiological research.
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Affiliation(s)
- Yixiao Bin
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
- School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang 712046, China
| | - Sanhua Wei
- Department of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi’an 710038, China;
| | - Ruo Chen
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Haowei Zhang
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an 710032, China;
| | - Jing Ren
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
- School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang 712046, China
| | - Peijuan Liu
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Zhiqian Xin
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Tianjiao Zhang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Haijiao Yang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Ke Wang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Zhuan Feng
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Xiuxuan Sun
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Zhinan Chen
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Hai Zhang
- Department of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an 710032, China; (Y.B.); (R.C.); (J.R.); (P.L.); (Z.X.); (T.Z.); (H.Y.); (K.W.); (Z.F.); (X.S.)
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Fourth Military Medical University, Xi’an 710032, China
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14
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Huang J, Zhang J, Zhang L, Wang Z, Fan T, Yin S. The Structure Characteristics and Function of Non B Cell-Derived Immunoglobulin. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1445:59-71. [PMID: 38967750 DOI: 10.1007/978-981-97-0511-5_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
According to classical immunology theory, immunoglobulin (Ig) is exclusively produced by differentiated B lymphocytes, which exhibit a typical tetrapeptide chain structure and are predominantly present on the surface of B cells and in bodily fluids. B-Ig is one of the critical effector molecules for humoral immune responses specifically recognising antigens and eliminating them. However, mounting evidence has demonstrated that Ig is widely expressed in non B lineage cells, especially malignant ones (referred to as non B-Ig). Interestingly, non B-Ig mainly resides in the cytoplasm and secretion, but to some extent on the cell surface. Furthermore non B-Ig not only displays a tetrapeptide chain structure but also shows free heavy chains and free light chains (FLCs). Additionally, Ig derived from non B cancer cell typically displays unique glycosylation modifications. Functionally, non B-Ig demonstrated diversity and versatility, showing antibody activity and cellular biological activity, such as promoting cell proliferation and survival, and it is implicated in cancer progression and some immune-related diseases, such as renal diseases.
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Affiliation(s)
- Jing Huang
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
| | - Jingxuan Zhang
- Platform Biology, Suzhou Abogen Biosciences, Suzhou, Jiangsu, China
| | - Li Zhang
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) and WHO Collaborating Center for Standardization and Evaluation of Biologicals, Beijing, China
| | - Zihan Wang
- Department of Nephrology, Peking University Third Hospital, Beijing, China
| | - Tianrui Fan
- Shanghai Discovery and Development Center, Abiosciences, Shanghai, China
| | - Sha Yin
- Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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15
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Malinge P, Chauchet X, Bourguignon J, Bosson N, Calloud S, Bautzova T, Borlet M, Laursen M, Kelpsas V, Rose N, Gueneau F, Ravn U, Magistrelli G, Fischer N. Structural analysis of light chain-driven bispecific antibodies targeting CD47 and PD-L1. MAbs 2024; 16:2362432. [PMID: 38849989 PMCID: PMC11164222 DOI: 10.1080/19420862.2024.2362432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
In contrast to natural antibodies that rely mainly on the heavy chain to establish contacts with their cognate antigen, we have developed a bispecific antibody format in which the light chain (LC) drives antigen binding and specificity. To better understand epitope-paratope interactions in this context, we determined the X-ray crystallographic structures of an antigen binding fragment (Fab) in complex with human CD47 and another Fab in complex with human PD-L1. These Fabs contain a κ-LC and a λ-LC, respectively, which are paired with an identical heavy chain (HC). The structural analysis of these complexes revealed the dominant contribution of the LCs to antigen binding, but also that the common HC provides some contacts in both CD47 and PD-L1 Fab complexes. The anti-CD47 Fab was affinity optimized by diversifying complementary-determining regions of the LC followed by phage display selections. Using homology modeling, the contributions of the amino acid modification to the affinity increase were analyzed. Our results demonstrate that, despite a less prominent role in natural antibodies, the LC can mediate high affinity binding to different antigens and neutralize their biological function. Importantly, Fabs containing a common variable heavy (VH) domain enable the generation of bispecific antibodies retaining a truly native structure, maximizing their therapeutic potential.
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Affiliation(s)
- Pauline Malinge
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Xavier Chauchet
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Nicolas Bosson
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Tereza Bautzova
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Marie Borlet
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | | | | | - Franck Gueneau
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Ulla Ravn
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Nicolas Fischer
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
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16
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Chen J, Zhao B, Lin S, Sun H, Mao X, Wang M, Chu Y, Hong L, Wei D, Li M, Xiong Y. TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning. Protein Sci 2024; 33:e4841. [PMID: 37983648 PMCID: PMC10731497 DOI: 10.1002/pro.4841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/11/2023] [Accepted: 11/16/2023] [Indexed: 11/22/2023]
Abstract
The recognition of T-cell receptor (TCR) on the surface of T cell to specific epitope presented by the major histocompatibility complex is the key to trigger the immune response. Identifying the binding rules of TCR-epitope pair is crucial for developing immunotherapies, including neoantigen vaccine and drugs. Accurate prediction of TCR-epitope binding specificity via deep learning remains challenging, especially in test cases which are unseen in the training set. Here, we propose TEPCAM (TCR-EPitope identification based on Cross-Attention and Multi-channel convolution), a deep learning model that incorporates self-attention, cross-attention mechanism, and multi-channel convolution to improve the generalizability and enhance the model interpretability. Experimental results demonstrate that our model outperformed several state-of-the-art models on two challenging tasks including a strictly split dataset and an external dataset. Furthermore, the model can learn some interaction patterns between TCR and epitope by extracting the interpretable matrix from cross-attention layer and mapping them to the three-dimensional structures. The source code and data are freely available at https://github.com/Chenjw99/TEPCAM.
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Affiliation(s)
- Junwei Chen
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Bowen Zhao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Shenggeng Lin
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Heqi Sun
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Xueying Mao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Meng Wang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yanyi Chu
- Department of PathologyStanford University School of MedicineStandfordCaliforniaUSA
| | - Liang Hong
- Institute of Natural Sciences, Shanghai Jiao Tong UniversityShanghaiChina
- Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong UniversityShanghaiChina
| | - Dong‐Qing Wei
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Min Li
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yi Xiong
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
- Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong UniversityShanghaiChina
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17
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Korenkov M, Zehner M, Cohen-Dvashi H, Borenstein-Katz A, Kottege L, Janicki H, Vanshylla K, Weber T, Gruell H, Koch M, Diskin R, Kreer C, Klein F. Somatic hypermutation introduces bystander mutations that prepare SARS-CoV-2 antibodies for emerging variants. Immunity 2023; 56:2803-2815.e6. [PMID: 38035879 DOI: 10.1016/j.immuni.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/19/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023]
Abstract
Somatic hypermutation (SHM) drives affinity maturation and continues over months in SARS-CoV-2-neutralizing antibodies (nAbs). However, several potent SARS-CoV-2 antibodies carry no or only a few mutations, leaving the question of how ongoing SHM affects neutralization unclear. Here, we reverted variable region mutations of 92 antibodies and tested their impact on SARS-CoV-2 binding and neutralization. Reverting higher numbers of mutations correlated with decreasing antibody functionality. However, for some antibodies, including antibodies of the public clonotype VH1-58, neutralization of Wu01 remained unaffected. Although mutations were dispensable for Wu01-induced VH1-58 antibodies to neutralize Alpha, Beta, and Delta variants, they were critical for Omicron BA.1/BA.2 neutralization. We exploited this knowledge to convert the clinical antibody tixagevimab into a BA.1/BA.2 neutralizer. These findings broaden our understanding of SHM as a mechanism that not only improves antibody responses during affinity maturation but also contributes to antibody diversification, thus increasing the chances of neutralizing viral escape variants.
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Affiliation(s)
- Michael Korenkov
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Matthias Zehner
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Hadas Cohen-Dvashi
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Aliza Borenstein-Katz
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Lisa Kottege
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Hanna Janicki
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Kanika Vanshylla
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Timm Weber
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Henning Gruell
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
| | - Manuel Koch
- Institute for Dental Research and Oral Musculoskeletal Biology and Center for Biochemistry, University of Cologne, 50931 Cologne, Germany
| | - Ron Diskin
- Department of Chemical and Structural Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Christoph Kreer
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany.
| | - Florian Klein
- Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; German Center for Infection Research, Partner Site Bonn-Cologne, 50931 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany.
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18
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Mai G, Zhang C, Lan C, Zhang J, Wang Y, Tang K, Tang J, Zeng J, Chen Y, Cheng P, Liu S, Long H, Wen Q, Li A, Liu X, Zhang R, Xu S, Liu L, Niu Y, Yang L, Wang Y, Yin D, Sun C, Chen YQ, Shen W, Zhang Z, Du X. Characterizing the dynamics of BCR repertoire from repeated influenza vaccination. Emerg Microbes Infect 2023; 12:2245931. [PMID: 37542407 PMCID: PMC10438862 DOI: 10.1080/22221751.2023.2245931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/12/2023] [Accepted: 08/03/2023] [Indexed: 08/06/2023]
Abstract
Yearly epidemics of seasonal influenza cause an enormous disease burden around the globe. An understanding of the rules behind the immune response with repeated vaccination still presents a significant challenge, which would be helpful for optimizing the vaccination strategy. In this study, 34 healthy volunteers with 16 vaccinated were recruited, and the dynamics of the BCR repertoire for consecutive vaccinations in two seasons were tracked. In terms of diversity, length, network, V and J gene segments usage, somatic hypermutation (SHM) rate and isotype, it was found that the overall changes were stronger in the acute phase of the first vaccination than the second vaccination. However, the V gene segments of IGHV4-39, IGHV3-9, IGHV3-7 and IGHV1-69 were amplified in the acute phase of the first vaccination, with IGHV3-7 dominant. On the other hand, for the second vaccination, the changes were dominated by IGHV1-69, with potential for coding broad neutralizing antibody. Additional analysis indicates that the application of V gene segment for IGHV3-7 in the acute phase of the first vaccination was due to the elevated usage of isotypes IgM and IgG3. While for IGHV1-69 in the second vaccination, it was contributed by isotypes IgG1 and IgG2. Finally, 41 public BCR clusters were identified in the vaccine group, with both IGHV3-7 and IGHV1-69 were involved and representative complementarity determining region 3 (CDR3) motifs were characterized. This study provides insights into the immune response dynamics following repeated influenza vaccination in humans and can inform universal vaccine design and vaccine strategies in the future.
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Affiliation(s)
- Guoqin Mai
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Chi Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Chunhong Lan
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
- Center for Precision Medicine, Guangdong Academy of Medical Sciences, Medical Research Institute, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, People’s Republic of China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Jie Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yuanyuan Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Kang Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Jing Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Jinfeng Zeng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yilin Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Peiwen Cheng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Shuning Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Haoyu Long
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Qilan Wen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Aqin Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Xuan Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Ruitong Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Shuyang Xu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Lin Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yanlan Niu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Lan Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yihan Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Di Yin
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Caijun Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Wei Shen
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Zhenhai Zhang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
- Center for Precision Medicine, Guangdong Academy of Medical Sciences, Medical Research Institute, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, People’s Republic of China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou, People’s Republic of China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People’s Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, People’s Republic of China
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19
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Seitz V, Gennermann K, Elezkurtaj S, Groth D, Schaper S, Dröge A, Lachmann N, Berg E, Lenze D, Kühl AA, Husemann C, Kleo K, Horst D, Lennerz V, Hennig S, Hummel M, Schumann M. Specific T-cell receptor beta-rearrangements of gluten-triggered CD8 + T-cells are enriched in celiac disease patients' duodenal mucosa. Clin Immunol 2023; 256:109795. [PMID: 37769786 DOI: 10.1016/j.clim.2023.109795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/02/2023]
Abstract
Celiac disease (CeD) is an autoimmune disorder affecting the small intestine with gluten as disease trigger. Infections including Influenza A, increase the CeD risk. While gluten-specific CD4+ T-cells, recognizing HLA-DQ2/DQ8 presented gluten-peptides, initiate and sustain the celiac immune response, CD8+ α/β intraepithelial T-cells elicit mucosal damage. Here, we subjected TCRs from a cohort of 56 CeD patients and 22 controls to an analysis employing 749 published CeD-related TCRβ-rearrangements derived from gluten-specific CD4+ T-cells and gluten-triggered peripheral blood CD8+ T-cells. We show, that in addition to TCRs from gluten-specific CD4+ T-cells, TCRs of gluten-triggered CD8+ T-cells are significantly enriched in CeD duodenal tissue samples. TCRβ-rearrangements of gluten-triggered CD8+ T-cells were even more expanded in patients than TCRs from gluten-specific CD4+ T-cells (p < 0.0002) and highest in refractory CeD. Sequence alignments with TCR-antigen databases suggest that a subgroup of these most likely indirectly gluten-triggered TCRs recognize microbial, viral, and autoantigens.
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Affiliation(s)
- V Seitz
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; HS Diagnomics GmbH, Berlin, Germany
| | | | - S Elezkurtaj
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Groth
- Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | | | - A Dröge
- HS Diagnomics GmbH, Berlin, Germany
| | - N Lachmann
- Centre for Tumor Medicine, Histocompatibility & Immunogenetics Laboratory, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - E Berg
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Lenze
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - A A Kühl
- iPATH.Berlin - Core Unit of the Charité Universitätsmedizin Berlin, corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - C Husemann
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, Berlin, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - K Kleo
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Horst
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - S Hennig
- HS Diagnomics GmbH, Berlin, Germany
| | - M Hummel
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, Berlin, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Schumann
- Medizinische Klinik m. S. Gastroenterologie, Infektiologie und Rheumatologie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
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20
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Wang K, Hu X, Zhang J. Fast clonal family inference from large-scale B cell repertoire sequencing data. CELL REPORTS METHODS 2023; 3:100601. [PMID: 37788671 PMCID: PMC10626204 DOI: 10.1016/j.crmeth.2023.100601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/31/2023] [Accepted: 09/08/2023] [Indexed: 10/05/2023]
Abstract
Advances in high-throughput sequencing technologies have facilitated the large-scale characterization of B cell receptor (BCR) repertoires. However, the vast amount and high diversity of the BCR sequences pose challenges for efficient and biologically meaningful analysis. Here, we introduce fastBCR, an efficient computational approach for inferring B cell clonal families from massive BCR heavy chain sequences. We demonstrate that fastBCR substantially reduces the running time while ensuring high accuracy on simulated datasets with diverse numbers of B cell lineages and varying mutation rates. We apply fastBCR to real BCR sequencing data from peripheral blood samples of COVID-19 patients, showing that the inferred clonal families display disease-associated features, as well as corresponding antigen-binding specificity and affinity. Overall, our results demonstrate the advantages of fastBCR for analyzing BCR repertoire data, which will facilitate the identification of disease-associated antibodies and improve our understanding of the B cell immune response.
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Affiliation(s)
- Kaixuan Wang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xihao Hu
- GV20 Therapeutics, Cambridge, MA, USA
| | - Jian Zhang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
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21
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Kumaraswami K, Arnholdt C, Deindl E, Lasch M. Rag1 Deficiency Impairs Arteriogenesis in Mice. Int J Mol Sci 2023; 24:12839. [PMID: 37629019 PMCID: PMC10454224 DOI: 10.3390/ijms241612839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/12/2023] [Accepted: 08/13/2023] [Indexed: 08/27/2023] Open
Abstract
Increasing evidence suggests that lymphocytes play distinct roles in inflammation-induced tissue remodeling and tissue damage. Arteriogenesis describes the growth of natural bypasses from pre-existing collateral arteries. This process compensates for the loss of artery function in occlusive arterial diseases. The role of innate immune cells is widely understood in the process of arteriogenesis, whereas the role of lymphocytes remains unclear and is the subject of the present study. To analyze the role of lymphocytes, we induced arteriogenesis in recombination activating gene-1 (Rag1) knockout (KO) mice by unilateral ligation of the femoral artery. The lack of functional lymphocytes in Rag1 KO mice resulted in reduced perfusion recovery as shown by laser Doppler imaging. Additionally, immunofluorescence staining revealed a reduced vascular cell proliferation along with a smaller inner luminal diameter in Rag1 KO mice. The perivascular macrophage polarization around the growing collateral arteries was shifted to more pro-inflammatory M1-like polarized macrophages. Together, these data suggest that lymphocytes are crucial for arteriogenesis by modulating perivascular macrophage polarization.
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Affiliation(s)
- Konda Kumaraswami
- Walter-Brendel-Centre of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, 81377 Munich, Germany; (K.K.); (C.A.); (M.L.)
- Medical Clinic I, Department of Cardiology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany
- Biomedical Center, Institute of Cardiovascular Physiology and Pathophysiology, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
| | - Christoph Arnholdt
- Walter-Brendel-Centre of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, 81377 Munich, Germany; (K.K.); (C.A.); (M.L.)
- Biomedical Center, Institute of Cardiovascular Physiology and Pathophysiology, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
| | - Elisabeth Deindl
- Walter-Brendel-Centre of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, 81377 Munich, Germany; (K.K.); (C.A.); (M.L.)
- Biomedical Center, Institute of Cardiovascular Physiology and Pathophysiology, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
| | - Manuel Lasch
- Walter-Brendel-Centre of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, 81377 Munich, Germany; (K.K.); (C.A.); (M.L.)
- Biomedical Center, Institute of Cardiovascular Physiology and Pathophysiology, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany
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22
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Jiménez-Guerrero R, Karlsen C, Boudinot P, Afanasyev S, Mørkøre T, Krasnov A. Differentiation and traffic of IgM + B cells between focal dark spots in skeletal muscle of Atlantic salmon, lymphoid and adipose tissues. FISH & SHELLFISH IMMUNOLOGY 2023:108858. [PMID: 37302676 DOI: 10.1016/j.fsi.2023.108858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/12/2023] [Accepted: 05/28/2023] [Indexed: 06/13/2023]
Abstract
Focal dark spots (DS) in farmed Atlantic salmon fillets contain a significant number of B cells as revealed by the high abundance of immunoglobulin (Ig) transcripts in transcriptome data. The immune response in DS remains unknown while they represent a major problem in commercial aquaculture. Here, we characterized the diversity and clonal composition of B cells in DS. Sixteen gene markers of immune cells and antigen presentation were analyzed with RT-qPCR. All genes expression showed a positive correlation with DS area and intensity. The flatter the DS, the higher the expression of cd28, csfr, ctla, igt, and sigm, the lower expression of cd83 and btla, and the larger the cumulative frequency within DS. The expression of most of the analyzed immune genes, including three Ig types and markers of B cells was lower in DS than in the lymphatic organs, head kidney and spleen, but significantly higher compared to skeletal muscle. High levels of ctla4 and cd28 in DS might indicate the recruitment of T cells. Sequencing of IgM repertoire (Ig-seq) assessed migration of B cells by co-occurrence of identical CDR3 sequences in different tissues. The combination of gene expression and Ig-seq revealed the presence of several stages of B cell differentiation in DS. B cells at the earliest stage, with high ratio of membrane to secretory IgM (migm and sigm), showed minor Ig repertoire overlap with other tissues. Further differentiation stage (increased sigm to migm ratio and high expression of pax5 and cd79) was associated with active movement of B cells from DS towards lymphatic organs and visceral fat. Traffic and expression of immune genes decreased at later stages. These B cells could be involved in a response directed against viruses, pathogenic or opportunistic bacteria in DS. Seven of eight fish were positive for salmon alphavirus, and levels were higher in DS than in unstained muscle. PCR with universal primers to the 16S rRNA gene did not detect bacteria in DS. Although the evolution of DS most likely implies local exposure to antigens, neither this nor previous studies have found a necessary association between DS and pathogens or self-antigens.
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Affiliation(s)
- Raúl Jiménez-Guerrero
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway.
| | | | - Pierre Boudinot
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, 78350, France
| | - Sergey Afanasyev
- Sechenov Institute of Evolutionary Physiology and Biochemistry, Saint Petersburg, Russia
| | - Turid Mørkøre
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
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23
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Leiva-Rebollo R, Gémez-Mata J, Castro D, Borrego JJ, Labella AM. Immune response of DNA vaccinated-gilthead seabream ( Sparus aurata) against LCDV-Sa infection: relevance of the inflammatory process. Front Immunol 2023; 14:1209926. [PMID: 37346045 PMCID: PMC10279854 DOI: 10.3389/fimmu.2023.1209926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
Lymphocystis disease is one of the main viral pathologies affecting cultured gilthead seabream (Sparus aurata) in the Mediterranean region. Recently, we have developed a DNA vaccine based on the major capsid protein (MCP) of the Lymphocystis disease virus 3 (LCDV-Sa). The immune response triggered by either LCDV-Sa infection or vaccination have been previously studied and seem to be highly related to the modulation of the inflammatory and the IFN response. However, a comprehensive evaluation of immune-related gene expression in vaccinated fish after viral infection to identify immunogenes involved in vaccine-induced protection have not been carried out to date. The present study aimed to fulfill this objective by analyzing samples of head-kidney, spleen, intestine, and caudal fin from fish using an OpenArray® platform containing targets related to the immune response of gilthead seabream. The results obtained showed an increase of deregulated genes in the hematopoietic organs between vaccinated and non-vaccinated fish. However, in the intestine and fin, the results showed the opposite trend. The global effect of fish vaccination was a significant decrease (p<0.05) of viral replication in groups of fish previously vaccinated, and the expression of the following immune genes related to viral recognition (tlr9), humoral and cellular response (rag1 and cd48), inflammation (csf1r, elam, il1β, and il6), antiviral response (isg15, mx1, mx2, mx3), cell-mediated cytotoxicity (nccrp1), and apoptosis (prf1). The exclusive modulation of the immune response provoked by the vaccination seems to control the progression of the infection in the experimentally challenged gilthead seabream.
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Affiliation(s)
| | | | | | | | - Alejandro M. Labella
- Department of Microbiology, Faculty of Sciences, University of Malaga, Malaga, Spain
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24
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Pan X, López Acevedo SN, Cuziol C, De Tavernier E, Fahad AS, Longjam PS, Rao SP, Aguilera-Rodríguez D, Rezé M, Bricault CA, Gutiérrez-González MF, de Souza MO, DiNapoli JM, Vigne E, Shahsavarian MA, DeKosky BJ. Large-scale antibody immune response mapping of splenic B cells and bone marrow plasma cells in a transgenic mouse model. Front Immunol 2023; 14:1137069. [PMID: 37346047 PMCID: PMC10280637 DOI: 10.3389/fimmu.2023.1137069] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/30/2023] [Indexed: 06/23/2023] Open
Abstract
Molecular characterization of antibody immunity and human antibody discovery is mainly carried out using peripheral memory B cells, and occasionally plasmablasts, that express B cell receptors (BCRs) on their cell surface. Despite the importance of plasma cells (PCs) as the dominant source of circulating antibodies in serum, PCs are rarely utilized because they do not express surface BCRs and cannot be analyzed using antigen-based fluorescence-activated cell sorting. Here, we studied the antibodies encoded by the entire mature B cell populations, including PCs, and compared the antibody repertoires of bone marrow and spleen compartments elicited by immunization in a human immunoglobulin transgenic mouse strain. To circumvent prior technical limitations for analysis of plasma cells, we applied single-cell antibody heavy and light chain gene capture from the entire mature B cell repertoires followed by yeast display functional analysis using a cytokine as a model immunogen. We performed affinity-based sorting of antibody yeast display libraries and large-scale next-generation sequencing analyses to follow antibody lineage performance, with experimental validation of 76 monoclonal antibodies against the cytokine antigen that identified three antibodies with exquisite double-digit picomolar binding affinity. We observed that spleen B cell populations generated higher affinity antibodies compared to bone marrow PCs and that antigen-specific splenic B cells had higher average levels of somatic hypermutation. A degree of clonal overlap was also observed between bone marrow and spleen antibody repertoires, indicating common origins of certain clones across lymphoid compartments. These data demonstrate a new capacity to functionally analyze antigen-specific B cell populations of different lymphoid organs, including PCs, for high-affinity antibody discovery and detailed fundamental studies of antibody immunity.
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Affiliation(s)
- Xiaoli Pan
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, United States
- Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Sheila N. López Acevedo
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, United States
| | - Camille Cuziol
- Large Molecule Research, Sanofi, Vitry sur Seine, France
| | | | - Ahmed S. Fahad
- Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | | | | | | | - Mathilde Rezé
- Large Molecule Research, Sanofi, Vitry sur Seine, France
| | | | - Matías F. Gutiérrez-González
- Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Matheus Oliveira de Souza
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, United States
- Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | | | | | | | - Brandon J. DeKosky
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, United States
- Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA, United States
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Chemical Engineering, The University of Kansas, Lawrence, KS, United States
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25
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Wu J, Qi M, Zhang F, Zheng Y. TPBTE: A model based on convolutional Transformer for predicting the binding of TCR to epitope. Mol Immunol 2023; 157:30-41. [PMID: 36966551 DOI: 10.1016/j.molimm.2023.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023]
Abstract
T cell receptors (TCRs) selectively bind to antigens to fight pathogens with specific immunity. Current tools focus on the nature of amino acids within sequences and take less into account the nature of amino acids far apart and the relationship between sequences, leading to significant differences in the results from different datasets. We propose TPBTE, a model based on convolutional Transformer for Predicting the Binding of TCR to Epitope. It takes epitope sequences and the complementary decision region 3 (CDR3) sequences of TCRβ chain as inputs. And it uses a convolutional attention mechanism to learn amino acid representations between different positions of the sequences based on learning local features of the sequences. At the same time, it uses cross attention to learn the interaction information between TCR sequences and epitope sequences. A comprehensive evaluation of the TCR-epitope data shows that the average area under the curve of TPBTE outperforms the baseline model, and demonstrate an intentional performance. In addition, TPBTE can give the probability of binding TCR to epitopes, which can be used as the first step of epitope screening, narrowing the scope of epitope search and reducing the time of epitope search.
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Genolet R, Bobisse S, Chiffelle J, Arnaud M, Petremand R, Queiroz L, Michel A, Reichenbach P, Cesbron J, Auger A, Baumgaertner P, Guillaume P, Schmidt J, Irving M, Kandalaft LE, Speiser DE, Coukos G, Harari A. TCR sequencing and cloning methods for repertoire analysis and isolation of tumor-reactive TCRs. CELL REPORTS METHODS 2023; 3:100459. [PMID: 37159666 PMCID: PMC10163020 DOI: 10.1016/j.crmeth.2023.100459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/27/2023] [Accepted: 03/27/2023] [Indexed: 05/11/2023]
Abstract
T cell receptor (TCR) technologies, including repertoire analyses and T cell engineering, are increasingly important in the clinical management of cellular immunity in cancer, transplantation, and other immune diseases. However, sensitive and reliable methods for repertoire analyses and TCR cloning are still lacking. Here, we report on SEQTR, a high-throughput approach to analyze human and mouse repertoires that is more sensitive, reproducible, and accurate as compared with commonly used assays, and thus more reliably captures the complexity of blood and tumor TCR repertoires. We also present a TCR cloning strategy to specifically amplify TCRs from T cell populations. Positioned downstream of single-cell or bulk TCR sequencing, it allows time- and cost-effective discovery, cloning, screening, and engineering of tumor-specific TCRs. Together, these methods will accelerate TCR repertoire analyses in discovery, translational, and clinical settings and permit fast TCR engineering for cellular therapies.
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Affiliation(s)
- Raphael Genolet
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
| | - Sara Bobisse
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Johanna Chiffelle
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Marion Arnaud
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Rémy Petremand
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Lise Queiroz
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Alexandra Michel
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Patrick Reichenbach
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - Julien Cesbron
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Aymeric Auger
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Petra Baumgaertner
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Philippe Guillaume
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Julien Schmidt
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Melita Irving
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - Lana E. Kandalaft
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Daniel E. Speiser
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - George Coukos
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
| | - Alexandre Harari
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
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Nozuma S, Matsuura E, Tanaka M, Kodama D, Matsuzaki T, Yoshimura A, Sakiyama Y, Nakahata S, Morishita K, Enose-Akahata Y, Jacoboson S, Kubota R, Takashima H. Identification and tracking of HTLV-1-infected T cell clones in virus-associated neurologic disease. JCI Insight 2023; 8:167422. [PMID: 37036006 PMCID: PMC10132145 DOI: 10.1172/jci.insight.167422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 02/21/2023] [Indexed: 04/11/2023] Open
Abstract
Human T lymphotropic virus type 1-assoicated (HTLV-1-associated) myelopathy/tropical spastic paraparesis (HAM/TSP) is a neuroinflammatory disease caused by the persistent proliferation of HTLV-1-infected T cells. Here, we performed a T cell receptor (TCR) repertoire analysis focused on HTLV-1-infected cells to identify and track the infected T cell clones that are preserved in patients with HAM/TSP and migrate to the CNS. TCRβ repertoire analysis revealed higher clonal expansion in HTLV-1-infected cells compared with noninfected cells from patients with HAM/TSP and asymptomatic carriers (ACs). TCR clonality in HTLV-1-infected cells was similar in patients with HAM/TSP and ACs. Longitudinal analysis showed that the TCR repertoire signature in HTLV-1-infected cells remained stable, and highly expanded infected clones were preserved within each patient with HAM/TSP over years. Expanded HTLV-1-infected clones revealed different distributions between cerebrospinal fluid (CSF) and peripheral blood and were enriched in the CSF of patients with HAM/TSP. Cluster analysis showed similarity in TCRβ sequences in HTLV-1-infected cells, suggesting that they proliferate after common antigen stimulation. Our results indicate that exploring TCR repertoires of HTLV-1-infected cells can elucidate individual clonal dynamics and identify potential pathogenic clones expanded in the CNS.
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Affiliation(s)
- Satoshi Nozuma
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Eiji Matsuura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Masakazu Tanaka
- Division of Neuroimmunology, Joint Research Center for Human Retrovirus Infection, and
| | - Daisuke Kodama
- Division of Neuroimmunology, Joint Research Center for Human Retrovirus Infection, and
| | - Toshio Matsuzaki
- Division of Neuroimmunology, Joint Research Center for Human Retrovirus Infection, and
| | - Akiko Yoshimura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yusuke Sakiyama
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Shingo Nakahata
- Division of HTLV-1/ATL Carcinogenesis and Therapeutics, Joint Research Center for Human Retrovirus Infection, Kagoshima University, Kagoshima, Japan
| | - Kazuhiro Morishita
- Project for Advanced Medical Research and Development, Project Research Division, Frontier Science Research Center, University of Miyazaki, Miyazaki, Japan
| | - Yoshimi Enose-Akahata
- Viral Immunology Section, Neuroimmunology Branch, National Institute of Neurological Disorder and Stroke, NIH, Bethesda, Maryland, USA
| | - Steven Jacoboson
- Viral Immunology Section, Neuroimmunology Branch, National Institute of Neurological Disorder and Stroke, NIH, Bethesda, Maryland, USA
| | - Ryuji Kubota
- Division of Neuroimmunology, Joint Research Center for Human Retrovirus Infection, and
| | - Hiroshi Takashima
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
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Aburajab R, Pospiech M, Alachkar H. Profiling the epigenetic landscape of the antigen receptor repertoire: the missing epi-immunogenomics data. Nat Methods 2023; 20:477-481. [PMID: 36522502 PMCID: PMC11058354 DOI: 10.1038/s41592-022-01723-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
High-resolution sequencing methods that capture the epigenetic landscape within the T cell receptor (TCR) gene loci are pivotal for a fundamental understanding of the epigenetic regulatory mechanisms of the TCR repertoire. In our opinion, filling the gaps in our understanding of the epigenetic mechanisms regulating the TCR repertoire will benefit the development of strategies that can modulate the TCR repertoire composition by leveraging the dynamic nature of epigenetic modifications.
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Affiliation(s)
- Rayyan Aburajab
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Mateusz Pospiech
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
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Shin H, Kim Y. Regulation of loop extrusion on the interphase genome. Crit Rev Biochem Mol Biol 2023; 58:1-18. [PMID: 36921088 DOI: 10.1080/10409238.2023.2182273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
In the human cell nucleus, dynamically organized chromatin is the substrate for gene regulation, DNA replication, and repair. A central mechanism of DNA loop formation is an ATPase motor cohesin-mediated loop extrusion. The cohesin complexes load and unload onto the chromosome under the control of other regulators that physically interact and affect motor activity. Regulation of the dynamic loading cycle of cohesin influences not only the chromatin structure but also genome-associated human disorders and aging. This review focuses on the recently spotlighted genome organizing factors and the mechanism by which their dynamic interactions shape the genome architecture in interphase.
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Affiliation(s)
- Hyogyung Shin
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
| | - Yoori Kim
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.,New Biology Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
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Castiello MC, Ferrari S, Villa A. Correcting inborn errors of immunity: From viral mediated gene addition to gene editing. Semin Immunol 2023; 66:101731. [PMID: 36863140 PMCID: PMC10109147 DOI: 10.1016/j.smim.2023.101731] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 03/04/2023]
Abstract
Allogeneic hematopoietic stem cell transplantation is an effective treatment to cure inborn errors of immunity. Remarkable progress has been achieved thanks to the development and optimization of effective combination of advanced conditioning regimens and use of immunoablative/suppressive agents preventing rejection as well as graft versus host disease. Despite these tremendous advances, autologous hematopoietic stem/progenitor cell therapy based on ex vivo gene addition exploiting integrating γ-retro- or lenti-viral vectors, has demonstrated to be an innovative and safe therapeutic strategy providing proof of correction without the complications of the allogeneic approach. The recent advent of targeted gene editing able to precisely correct genomic variants in an intended locus of the genome, by introducing deletions, insertions, nucleotide substitutions or introducing a corrective cassette, is emerging in the clinical setting, further extending the therapeutic armamentarium and offering a cure to inherited immune defects not approachable by conventional gene addition. In this review, we will analyze the current state-of-the art of conventional gene therapy and innovative protocols of genome editing in various primary immunodeficiencies, describing preclinical models and clinical data obtained from different trials, highlighting potential advantages and limits of gene correction.
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Affiliation(s)
- Maria Carmina Castiello
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (IRGB-CNR), Milan, Italy
| | - Samuele Ferrari
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Vita-Salute San Raffaele University, Milan 20132, Italy
| | - Anna Villa
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (IRGB-CNR), Milan, Italy.
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31
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Cui Z, Zhao H, Chen X. Molecular and functional characterization of two IgM subclasses in large yellow croaker (Larimichthys crocea). FISH & SHELLFISH IMMUNOLOGY 2023; 134:108581. [PMID: 36754157 DOI: 10.1016/j.fsi.2023.108581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
As the predominant immunoglobulin (Ig) isotype, IgM plays a crucial role in the acquired immunity of vertebrates. There is only one Igμ gene in mammals, except cattle, while the number of Igμ gene varies among teleost fish. In the current study, we found two functional Igμ genes (Igμ1 and Igμ2) and a pseudo Cμ gene (ψIgμ) in large yellow croaker (Larimichthys crocea). Both Igμ1 and Igμ2 genes possessed two transcript variants, which encoded the heavy chains of secreted (sIgM1 and sIgM2) and membrane-bound IgM1 and IgM2 (mIgM1 and mIgM2), respectively. Both the heavy chains of sIgM1 and sIgM2 consisted of a variable Ig domain, four constant Ig domains (CH1, CH2, CH3 and CH4) and a secretory tail, while those of mIgM1 and mIgM2 consisted of a variable Ig domain, three constant Ig domains (CH1, CH2 and CH3), a transmembrane domain and a short cytoplasmic tail. Cysteine residues that are necessary for the formation of intrachain and interchain disulfide bonds and tryptophan residues that are important for the folding of the Ig superfamily domain were well conserved in large yellow croaker IgM1 and IgM2. Interestingly, large yellow croaker IgM2 had an extra cysteine (C94) in the CH1 domain compared with IgM1, which may cause the structural difference between IgM1 and IgM2. A liquid chromatography-tandem mass spectrometry analysis revealed that both IgM1 and IgM2 were present at the protein level in large yellow croaker serum. Both the Igμ1 and Igμ2 genes were mainly expressed in systemic immune tissues, such as head kidney and spleen, but the expression level of Igμ2 was much lower than that of Igμ1. After Pseudomonas plecoglossicida infection, the expression levels of Igμ1 and Igμ2 in both the spleen and head kidney were significantly upregulated, with a higher upregulation of Igμ2 than that of Igμ1. These results suggested that Igμ1 and Igμ2 may play a differential role in the immune response of large yellow croaker against bacterial infection.
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Affiliation(s)
- Zhengwei Cui
- Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Han Zhao
- Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Xinhua Chen
- Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China.
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Abdollahi N, Jeusset L, de Septenville A, Davi F, Bernardes JS. Reconstructing B cell lineage trees with minimum spanning tree and genotype abundances. BMC Bioinformatics 2023; 24:70. [PMID: 36849917 PMCID: PMC9972711 DOI: 10.1186/s12859-022-05112-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/13/2022] [Indexed: 03/01/2023] Open
Abstract
B cell receptor (BCR) genes exposed to an antigen undergo somatic hypermutations and Darwinian antigen selection, generating a large BCR-antibody diversity. This process, known as B cell affinity maturation, increases antibody affinity, forming a specific B cell lineage that includes the unmutated ancestor and mutated variants. In a B cell lineage, cells with a higher antigen affinity will undergo clonal expansion, while those with a lower affinity will not proliferate and probably be eliminated. Therefore, cellular (genotype) abundance provides a valuable perspective on the ongoing evolutionary process. Phylogenetic tree inference is often used to reconstruct B cell lineage trees and represents the evolutionary dynamic of BCR affinity maturation. However, such methods should process B-cell population data derived from experimental sampling that might contain different cellular abundances. There are a few phylogenetic methods for tracing the evolutionary events occurring in B cell lineages; best-performing solutions are time-demanding and restricted to analysing a reduced number of sequences, while time-efficient methods do not consider cellular abundances. We propose ClonalTree, a low-complexity and accurate approach to construct B-cell lineage trees that incorporates genotype abundances into minimum spanning tree (MST) algorithms. Using both simulated and experimental data, we demonstrate that ClonalTree outperforms MST-based algorithms and achieves a comparable performance to a method that explores tree-generating space exhaustively. Furthermore, ClonalTree has a lower running time, being more convenient for building B-cell lineage trees from high-throughput BCR sequencing data, mainly in biomedical applications, where a lower computational time is appreciable. It is hundreds to thousands of times faster than exhaustive approaches, enabling the analysis of a large set of sequences within minutes or seconds and without loss of accuracy. The source code is freely available at github.com/julibinho/ClonalTree.
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Affiliation(s)
- Nika Abdollahi
- grid.462844.80000 0001 2308 1657UMR 7238, Laboratoire de Biologie Computationnelle et Quantitative, Sorbonne University, Paris, France ,grid.121334.60000 0001 2097 0141IMGT®, The International ImMunoGeneTics Information System, CNRS, Institute of Human Genetics, Montpellier University, Montpellier, France
| | - Lucile Jeusset
- grid.462844.80000 0001 2308 1657UMR 7238, Laboratoire de Biologie Computationnelle et Quantitative, Sorbonne University, Paris, France ,grid.462844.80000 0001 2308 1657AP-HP, Hôpital Pitié-Salpêtrière, Department of Biological Hematology, Sorbonne University, Paris, France
| | - Anne de Septenville
- grid.462844.80000 0001 2308 1657AP-HP, Hôpital Pitié-Salpêtrière, Department of Biological Hematology, Sorbonne University, Paris, France
| | - Frederic Davi
- grid.462844.80000 0001 2308 1657AP-HP, Hôpital Pitié-Salpêtrière, Department of Biological Hematology, Sorbonne University, Paris, France
| | - Juliana Silva Bernardes
- UMR 7238, Laboratoire de Biologie Computationnelle et Quantitative, Sorbonne University, Paris, France.
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Sible E, Attaway M, Fiorica G, Michel G, Chaudhuri J, Vuong BQ. Ataxia Telangiectasia Mutated and MSH2 Control Blunt DNA End Joining in Ig Class Switch Recombination. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:369-376. [PMID: 36603026 PMCID: PMC9915862 DOI: 10.4049/jimmunol.2200590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/09/2022] [Indexed: 01/06/2023]
Abstract
Class-switch recombination (CSR) produces secondary Ig isotypes and requires activation-induced cytidine deaminase (AID)-dependent DNA deamination of intronic switch regions within the IgH (Igh) gene locus. Noncanonical repair of deaminated DNA by mismatch repair (MMR) or base excision repair (BER) creates DNA breaks that permit recombination between distal switch regions. Ataxia telangiectasia mutated (ATM)-dependent phosphorylation of AID at serine 38 (pS38-AID) promotes its interaction with apurinic/apyrimidinic endonuclease 1 (APE1), a BER protein, suggesting that ATM regulates CSR through BER. However, pS38-AID may also function in MMR during CSR, although the mechanism remains unknown. To examine whether ATM modulates BER- and/or MMR-dependent CSR, Atm-/- mice were bred to mice deficient for the MMR gene mutS homolog 2 (Msh2). Surprisingly, the predicted Mendelian frequencies of Atm-/-Msh2-/- adult mice were not obtained. To generate ATM and MSH2-deficient B cells, Atm was conditionally deleted on an Msh2-/- background using a floxed ATM allele (Atmf) and B cell-specific Cre recombinase expression (CD23-cre) to produce a deleted ATM allele (AtmD). As compared with AtmD/D and Msh2-/- mice and B cells, AtmD/DMsh2-/- mice and B cells display a reduced CSR phenotype. Interestingly, Sμ-Sγ1 junctions from AtmD/DMsh2-/- B cells that were induced to switch to IgG1 in vitro showed a significant loss of blunt end joins and an increase in insertions as compared with wild-type, AtmD/D, or Msh2-/- B cells. These data indicate that the absence of both ATM and MSH2 blocks nonhomologous end joining, leading to inefficient CSR. We propose a model whereby ATM and MSH2 function cooperatively to regulate end joining during CSR through pS38-AID.
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Affiliation(s)
- Emily Sible
- Biology PhD Program, The Graduate Center, The City University of New York, New York, NY
- Department of Biology, City College of New York, The City University of New York, New York, NY; and
| | - Mary Attaway
- Department of Biology, City College of New York, The City University of New York, New York, NY; and
| | - Giuseppe Fiorica
- Department of Biology, City College of New York, The City University of New York, New York, NY; and
| | - Genesis Michel
- Department of Biology, City College of New York, The City University of New York, New York, NY; and
| | | | - Bao Q. Vuong
- Biology PhD Program, The Graduate Center, The City University of New York, New York, NY
- Department of Biology, City College of New York, The City University of New York, New York, NY; and
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Ge H, Ferris RL, Wang JH. Cetuximab Responses in Patients with HNSCC Correlate to Clonal Expansion Feature of Peripheral and Tumor-Infiltrating T Cells with Top T-Cell Receptor Clonotypes. Clin Cancer Res 2023; 29:647-658. [PMID: 36315045 PMCID: PMC9898159 DOI: 10.1158/1078-0432.ccr-22-2355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/21/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE Cetuximab is a standard-of-care treatment for head and neck squamous cell carcinoma (HNSCC). Well-defined correlative markers of therapeutic responses are still lacking. Characterizing dynamic changes of T-cell receptor (TCR) repertoire in peripheral blood and tumor tissue may facilitate developing markers for cetuximab response in HNSCCs. EXPERIMENTAL DESIGN We analyzed high-throughput TCRβ sequencing data generated with ImmunoSEQ platform using peripheral blood mononuclear cells (PBMC) and tumor-infiltrating lymphocytes (TIL) from patients with HNSCC before and after cetuximab treatment (pre-/post-PBMC vs. pre-/post-TIL). Multiple analytic approaches were employed to normalize sequencing data. RESULTS Normalized TCR richness was significantly lower in post-TIL than pre-TIL, suggesting that cetuximab reduced TCR diversity and promoted TCR expansion in TIL samples, regardless of response status. The magnitude of clonal expansion (defined as expansion rate) in top 20 TCR clonotypes was significantly higher in responder PBMC with or without normalization, and in responder TIL upon normalization, than nonresponder ones. Notably, the expanded top 20 or top 50 TCR clonotypes overlapped between PBMC and TIL samples, which occurred significantly more frequently in responders than nonresponders. CONCLUSIONS Patients with cetuximab-treated HNSCC harbor dynamic changes of TCR repertoires correlative to therapeutic responses. The expansion rate of top TCR clonotypes in peripheral blood may serve as a minimally invasive, readily accessible, and feasible marker for predicting cetuximab responses in HNSCCs and beyond, and the expansion rate of top TCR clonotypes in TILs and their overlapping probability between PBMC and TIL may serve as additional predictive markers. Our study also highlights the importance of data normalization for TCR repertoire analysis.
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Affiliation(s)
- Huaibin Ge
- UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213
| | - Robert L. Ferris
- UPMC Hillman Cancer Center, Department of Otolaryngology, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15213.,Correspondence should be addressed to Robert L. Ferris, UPMC Hillman Cancer Center Cancer Pavilion, Suite 500, 5150 Centre Avenue, Pittsburgh, PA 15232; Tel: 412-623-3205; or Jing H Wang, UPMC Hillman Cancer Center Research Pavilion, 5117 Centre Ave, Suite 1.16, Pittsburgh, PA, 15213, Tel: 412-864-7728;
| | - Jing H Wang
- UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213.,Department of Immunology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213.,Correspondence should be addressed to Robert L. Ferris, UPMC Hillman Cancer Center Cancer Pavilion, Suite 500, 5150 Centre Avenue, Pittsburgh, PA 15232; Tel: 412-623-3205; or Jing H Wang, UPMC Hillman Cancer Center Research Pavilion, 5117 Centre Ave, Suite 1.16, Pittsburgh, PA, 15213, Tel: 412-864-7728;
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Su W, Wang Y, Zou S, Zhao Y, Li Y, Zhang C, Guo X, Li S. Construction of Peptide Library in Mammalian Cells by dsDNA-Based Strategy. ACS OMEGA 2023; 8:1037-1046. [PMID: 36643544 PMCID: PMC9835800 DOI: 10.1021/acsomega.2c06402] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/19/2022] [Indexed: 06/16/2023]
Abstract
While different display technologies, represented by phage display, have been widely used in drug discovery, they still can hardly achieve function-based peptide screening, which in most cases is performed in mammalian cells. And most attempts to screen functional peptides with mammalian platforms utilized plasmids to store coding information. Our previous work established double-stranded DNAs (dsDNAs) as innovative biological parts to implement AND-gate genetic circuits in mammalian cells. In the current study, we employ dsDNAs with terminal NNK degenerate codons to implement AND-gate genetic circuits and generate peptide libraries in mammalian cells. This dsDNA-based AND-gate (DBAG) peptide library construction strategy is easy to perform, requiring only PCR reaction and cell transfection. High-throughput sequencing (HTS) and single-cell sequencing results revealed both peptide length and amino acid sequence diversity of DBAG peptide libraries. Moreover, as a feasibility test of this strategy, we identified an MDM2-interacting peptide by applying the DBAG peptide library to a mammalian cell-based two-hybrid system. Our work establishes dsDNAs with terminal degenerate codons as biological parts to build peptide libraries in mammalian cells, which may have great application potential in the future.
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Affiliation(s)
- Weijun Su
- School
of Medicine, Nankai University, Tianjin 300071, China
| | - Yi Wang
- Department
of Breast Cancer Pathology and Research Laboratory, Tianjin Medical
University Cancer Institute & Hospital, National Clinical Research
Center for Cancer; Key Laboratory of Cancer Prevention and Therapy,
Tianjin, Tianjin’s Clinical Research
Center for Cancer, Tianjin 300060, China
| | - Siqi Zou
- School
of Medicine, Nankai University, Tianjin 300071, China
| | - Yanjie Zhao
- Department
of Breast Cancer Pathology and Research Laboratory, Tianjin Medical
University Cancer Institute & Hospital, National Clinical Research
Center for Cancer; Key Laboratory of Cancer Prevention and Therapy,
Tianjin, Tianjin’s Clinical Research
Center for Cancer, Tianjin 300060, China
| | - Yifan Li
- Department
of Breast Cancer Pathology and Research Laboratory, Tianjin Medical
University Cancer Institute & Hospital, National Clinical Research
Center for Cancer; Key Laboratory of Cancer Prevention and Therapy,
Tianjin, Tianjin’s Clinical Research
Center for Cancer, Tianjin 300060, China
| | - Chunze Zhang
- Department
of Colorectal Surgery, Tianjin Union Medical
Center, Tianjin 300121, China
| | - Xiaojing Guo
- Department
of Breast Cancer Pathology and Research Laboratory, Tianjin Medical
University Cancer Institute & Hospital, National Clinical Research
Center for Cancer; Key Laboratory of Cancer Prevention and Therapy,
Tianjin, Tianjin’s Clinical Research
Center for Cancer, Tianjin 300060, China
| | - Shuai Li
- Department
of Breast Cancer Pathology and Research Laboratory, Tianjin Medical
University Cancer Institute & Hospital, National Clinical Research
Center for Cancer; Key Laboratory of Cancer Prevention and Therapy,
Tianjin, Tianjin’s Clinical Research
Center for Cancer, Tianjin 300060, China
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Dauphars DJ, Wu G, Bassing CH, Krangel MS. Methods for Study of Mouse T Cell Receptor α and β Gene Rearrangements. Methods Mol Biol 2023; 2580:261-282. [PMID: 36374463 DOI: 10.1007/978-1-0716-2740-2_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Quantitative real-time PCR and next-generation sequencing (NGS) are invaluable techniques to analyze T cell receptor (Tcr) gene rearrangements in mouse lymphocyte populations. Although these approaches are powerful, they also have limitations that must be accounted for in experimental design and data interpretation. Here, we provide relevant background required for understanding these limitations and then outline established quantitative real-time PCR and NGS methods that can be used for analysis of mouse Tcra and Tcrb gene rearrangements in mice.
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Affiliation(s)
- Danielle J Dauphars
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA
| | - Glendon Wu
- Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Craig H Bassing
- Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Michael S Krangel
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA.
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Xu Y, Huang F, Guo W, Feng K, Zhu L, Zeng Z, Huang T, Cai YD. Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution. Front Genet 2023; 14:1145647. [PMID: 36936430 PMCID: PMC10014730 DOI: 10.3389/fgene.2023.1145647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/20/2023] [Indexed: 03/06/2023] Open
Abstract
Chromatin accessibility is a generic property of the eukaryotic genome, which refers to the degree of physical compaction of chromatin. Recent studies have shown that chromatin accessibility is cell type dependent, indicating chromatin heterogeneity across cell lines and tissues. The identification of markers used to distinguish cell types at the chromosome level is important to understand cell function and classify cell types. In the present study, we investigated transcriptionally active chromosome segments identified by sci-ATAC-seq at single-cell resolution, including 69,015 cells belonging to 77 different cell types. Each cell was represented by existence status on 20,783 genes that were obtained from 436,206 active chromosome segments. The gene features were deeply analyzed by Boruta, resulting in 3897 genes, which were ranked in a list by Monte Carlo feature selection. Such list was further analyzed by incremental feature selection (IFS) method, yielding essential genes, classification rules and an efficient random forest (RF) classifier. To improve the performance of the optimal RF classifier, its features were further processed by autoencoder, light gradient boosting machine and IFS method. The final RF classifier with MCC of 0.838 was constructed. Some marker genes such as H2-Dmb2, which are specifically expressed in antigen-presenting cells (e.g., dendritic cells or macrophages), and Tenm2, which are specifically expressed in T cells, were identified in this study. Our analysis revealed numerous potential epigenetic modification patterns that are unique to particular cell types, thereby advancing knowledge of the critical functions of chromatin accessibility in cell processes.
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Affiliation(s)
- Yaochen Xu
- Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China
| | - FeiMing Huang
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - KaiYan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou, China
| | - Lin Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhenbing Zeng
- Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China
- *Correspondence: Zhenbing Zeng, ; Tao Huang, ; Yu-Dong Cai,
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Zhenbing Zeng, ; Tao Huang, ; Yu-Dong Cai,
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
- *Correspondence: Zhenbing Zeng, ; Tao Huang, ; Yu-Dong Cai,
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Gedda MR, Danaher P, Shao L, Ongkeko M, Chen L, Dinh A, Thioye Sall M, Reddy OL, Bailey C, Wahba A, Dzekunova I, Somerville R, De Giorgi V, Jin P, West K, Panch SR, Stroncek DF. Longitudinal transcriptional analysis of peripheral blood leukocytes in COVID-19 convalescent donors. J Transl Med 2022; 20:587. [PMID: 36510222 PMCID: PMC9742656 DOI: 10.1186/s12967-022-03751-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/03/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND SARS-CoV2 can induce a strong host immune response. Many studies have evaluated antibody response following SARS-CoV2 infections. This study investigated the immune response and T cell receptor diversity in people who had recovered from SARS-CoV2 infection (COVID-19). METHODS Using the nCounter platform, we compared transcriptomic profiles of 162 COVID-19 convalescent donors (CCD) and 40 healthy donors (HD). 69 of the 162 CCDs had two or more time points sampled. RESULTS After eliminating the effects of demographic factors, we found extensive differential gene expression up to 241 days into the convalescent period. The differentially expressed genes were involved in several pathways, including virus-host interaction, interleukin and JAK-STAT signaling, T-cell co-stimulation, and immune exhaustion. A subset of 21 CCD samples was found to be highly "perturbed," characterized by overexpression of PLAU, IL1B, NFKB1, PLEK, LCP2, IRF3, MTOR, IL18BP, RACK1, TGFB1, and others. In addition, one of the clusters, P1 (n = 8) CCD samples, showed enhanced TCR diversity in 7 VJ pairs (TRAV9.1_TCRVA_014.1, TRBV6.8_TCRVB_016.1, TRAV7_TCRVA_008.1, TRGV9_ENST00000444775.1, TRAV18_TCRVA_026.1, TRGV4_ENST00000390345.1, TRAV11_TCRVA_017.1). Multiplexed cytokine analysis revealed anomalies in SCF, SCGF-b, and MCP-1 expression in this subset. CONCLUSIONS Persistent alterations in inflammatory pathways and T-cell activation/exhaustion markers for months after active infection may help shed light on the pathophysiology of a prolonged post-viral syndrome observed following recovery from COVID-19 infection. Future studies may inform the ability to identify druggable targets involving these pathways to mitigate the long-term effects of COVID-19 infection. TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT04360278 Registered April 24, 2020.
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Affiliation(s)
- Mallikarjuna R. Gedda
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA ,grid.280030.90000 0001 2150 6316Section of Retinal Ganglion Cell Biology, Laboratory of Retinal Cell and Molecular Biology, National Eye Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Patrick Danaher
- grid.510973.90000 0004 5375 2863NanoString Technologies, Seattle, WA 98109 USA
| | - Lipei Shao
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Martin Ongkeko
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Leonard Chen
- grid.94365.3d0000 0001 2297 5165Blood Services Section, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Anh Dinh
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Mame Thioye Sall
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Opal L. Reddy
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Christina Bailey
- grid.510973.90000 0004 5375 2863NanoString Technologies, Seattle, WA 98109 USA
| | - Amy Wahba
- grid.510973.90000 0004 5375 2863NanoString Technologies, Seattle, WA 98109 USA
| | - Inna Dzekunova
- grid.510973.90000 0004 5375 2863NanoString Technologies, Seattle, WA 98109 USA
| | - Robert Somerville
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Valeria De Giorgi
- grid.94365.3d0000 0001 2297 5165Infectious Disease Section, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Ping Jin
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Kamille West
- grid.94365.3d0000 0001 2297 5165Blood Services Section, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
| | - Sandhya R. Panch
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA ,grid.34477.330000000122986657Department of Medicine (Hematology Division), University of Washington/Fred Hutchinson Cancer Center, Seattle, WA 98109 USA
| | - David F. Stroncek
- grid.94365.3d0000 0001 2297 5165Center for Cellular Engineering, Department of Transfusion Medicine, National Institutes of Health, Bethesda, MD 20892 USA
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Jaiswal D, Verma S, Nair DT, Salunke DM. Antibody multispecificity: A necessary evil? Mol Immunol 2022; 152:153-161. [DOI: 10.1016/j.molimm.2022.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/20/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022]
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40
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Single-cell genomics identifies distinct B1 cell developmental pathways and reveals aging-related changes in the B-cell receptor repertoire. Cell Biosci 2022; 12:57. [PMID: 35526067 PMCID: PMC9080186 DOI: 10.1186/s13578-022-00795-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/20/2022] [Indexed: 11/30/2022] Open
Abstract
Background B1 cells are self-renewing innate-like B lymphocytes that provide the first line of defense against pathogens. B1 cells primarily reside in the peritoneal cavity and are known to originate from various fetal tissues, yet their developmental pathways and the mechanisms underlying maintenance of B1 cells throughout adulthood remain unclear. Results We performed high-throughput single-cell analysis of the transcriptomes and B-cell receptor repertoires of peritoneal B cells of neonates, young adults, and elderly mice. Gene expression analysis of 31,718 peritoneal B cells showed that the neonate peritoneal cavity contained many B1 progenitors, and neonate B cell specific clustering revealed two trajectories of peritoneal B1 cell development, including pre-BCR dependent and pre-BCR independent pathways. We also detected profound age-related changes in B1 cell transcriptomes: clear difference in senescence genetic program was evident in differentially aged B1 cells, and we found an example that a B1 subset only present in the oldest mice was marked by expression of the fatty-acid receptor CD36. We also performed antibody gene sequencing of 15,967 peritoneal B cells from the three age groups and discovered that B1 cell aging was associated with clonal expansion and two B1 cell clones expanded in the aged mice had the same CDR-H3 sequence (AGDYDGYWYFDV) as a pathogenically linked cell type from a recent study of an atherosclerosis mouse model. Conclusions Beyond offering an unprecedent data resource to explore the cell-to-cell variation in B cells, our study has revealed that B1 precursor subsets are present in the neonate peritoneal cavity and dissected the developmental pathway of the precursor cells. Besides, this study has found the expression of CD36 on the B1 cells in the aged mice. And the single-cell B-cell receptor sequencing reveals B1 cell aging is associated with clonal expansion. Supplementary Information The online version contains supplementary material available at 10.1186/s13578-022-00795-6.
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Janssen AWF, Louisse J, Rijkers D, Pinckaers NET, Hoekstra SA, Hoogenboom RLAP, Peijnenburg AACM, Beekmann K. Perfluoroalkyl substances (PFASs) decrease the expression of recombination-activating genes (RAG1 and RAG2) in human B lymphoma Namalwa cells. Arch Toxicol 2022; 97:10.1007/s00204-022-03405-z. [PMID: 36326898 PMCID: PMC9859925 DOI: 10.1007/s00204-022-03405-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
Per- and polyfluoroalkyl substances (PFASs) are omnipresent and have been shown to induce a wide range of adverse effects, including hepatotoxicity, developmental toxicity and immunotoxicity. So far, little information is available about the mechanisms underlying the toxicity of PFASs, including those related to their immunotoxicity. Reported immunotoxic effects of PFASs include decreased antibody responses in experimental animals and humans, indicating that PFASs may, among others, affect B cell function. In the present study, we first assessed the effects of PFOA on the transcriptome of the human Namalwa B cell line using RNA seq analysis. Gene expression changes, analyzed using Ingenuity Pathway Analysis, pointed to various cellular processes affected by PFOA, including 'B cell development' and 'Primary immunodeficiency signaling'. Interestingly, PFOA decreased the expression of RAG1 and RAG2, genes involved in immunoglobulin and T cell receptor V(D)J recombination. As a next step, time- and concentration-dependent changes in the expression of RAG1 and RAG2 upon exposure to PFOA, PFNA, PFHxS and PFOS were studied through RT-qPCR analysis. Analysis with the concentration-response modeling software PROAST resulted in the following potency ranking: PFNA > PFOA > PFOS > PFHxS. Altogether, the present in vitro study provides insights into the effects of selected PFASs on B cells, identifying RAG1 and RAG2 expression as possible relevant targets that may play a role in the immunotoxicity of PFASs.
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Affiliation(s)
- Aafke W F Janssen
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands.
| | - Jochem Louisse
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Deborah Rijkers
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Nicole E T Pinckaers
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Sjoerdtje A Hoekstra
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Ron L A P Hoogenboom
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Ad A C M Peijnenburg
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
| | - Karsten Beekmann
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands
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Bi J, Zheng Y, Wang C, Ding Y. An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:3272-3280. [PMID: 34559661 DOI: 10.1109/tcbb.2021.3115353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The T-cell epitope prediction has always been a long-term challenge in immunoinformatics and bioinformatics. Studying the specific recognition between T-cell receptor (TCR) and peptide-major histocompatibility complex (p-MHC) complexes can help us better understand the immune mechanism, it's also make a signification contribution in developing vaccines and targeted drugs. Meanwhile, more advanced methods are needed for distinguishing TCRs binding from different epitopes. In this paper, we introduce a hybrid model composed of bidirectional long short-term memory networks (BiLSTM), attention and convolutional neural networks (CNN) that can identified the binding of TCRs to epitopes. The BiLSTM can more completely extract amino acid forward and backward information in the sequence, and attention mechanism can focus on amino acids at certain positions from complex sequences to capture the most important feature, then CNN was used to further extract salient features to predict the binding of TCR-epitope. In McPAS dataset, the AUC value (the area under ROC curve) of naive TCR-epitope binding is 0.974 and specific TCR-epitope binding is 0.887. The model has achieved better prediction results than other existing models (TCRGP, ERGO, NetTCR), and some experiments are used to analyze the advantages of our model. The algorithm is available at https://github.com/bijingshu/BiAttCNN.git.
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John J, Woolaver RA, Popolizio V, Chen SMY, Ge H, Krinsky AL, Vashisht M, Kramer Y, Chen Z, Wang JH. Divergent outcomes of anti-PD-L1 treatment coupled with host-intrinsic differences in TCR repertoire and distinct T cell activation states in responding versus non-responding tumors. Front Immunol 2022; 13:992630. [PMID: 36330507 PMCID: PMC9624473 DOI: 10.3389/fimmu.2022.992630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/03/2022] [Indexed: 12/24/2022] Open
Abstract
Differential responses to immune checkpoint inhibitors (ICI) may be attributed to tumor-intrinsic factors or environmental cues; however, these mechanisms cannot fully explain the variable ICI responses in different individuals. Here, we investigate the potential contribution of immunological heterogeneity with a focus on differences in T-cell receptor (TCR) repertoire to ICI responses, which has not been defined previously. To reveal additional factors underlying heterogeneous responses to ICI, we employed a squamous cell carcinoma (SCC) mouse model in which tumor-bearing recipients unambiguously diverged into responders (R) or non-responders (NR) upon anti-PD-L1 treatment. Treatment efficacy absolutely required CD8 T-cells and correlated positively with effector functions of CD8 tumor-infiltrating lymphocytes (TILs). We showed that TCR repertoires exhibited a similar magnitude of clonal expansion in R vs. NR CD8 TILs. However, the top expanded TCR clonotypes appeared to be mutually exclusive between R and NR CD8 TILs, which also occurred in a recipient-specific manner, demonstrating preferential expansion of distinct TCR clonotypes against the same SCC tumor. Unexpectedly, R vs. NR CD8 TILs reached all activation clusters and did not exhibit substantial global differences in transcriptomes. By linking single-cell transcriptomic data with unique TCR clonotypes, CD8 TILs harboring top TCR clonotypes were found to occupy distinct activation clusters and upregulate genes favoring anti-tumor immunity to different extents in R vs. NR. We conclude that stochastic differences in CD8 TIL TCR repertoire and distinct activation states of top TCR clonotypes may contribute to differential anti-PD-L1 responses. Our study suggests that host-intrinsic immunological heterogeneity may offer a new explanation for differential ICI responses in different individuals, which could impact on strategies for personalized cancer immunotherapy.
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Affiliation(s)
- Jessy John
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Rachel A. Woolaver
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, United States
| | - Vince Popolizio
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, United States
| | - Samantha M. Y. Chen
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, United States
| | - Huaibin Ge
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Alexandra L. Krinsky
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, United States
| | - Monika Vashisht
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Yonatan Kramer
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, United States
| | - Zhangguo Chen
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Jing H. Wang
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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44
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Chen Z, John J, Wang JH. Why responses to immune checkpoint inhibitors are heterogeneous in head and neck cancers: Contributions from tumor-intrinsic and host-intrinsic factors. Front Oncol 2022; 12:995434. [PMID: 36330485 PMCID: PMC9623029 DOI: 10.3389/fonc.2022.995434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/03/2022] [Indexed: 12/24/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment including in head and neck squamous cell carcinomas (HNSCCs); however, only a fraction of HNSCC patients respond to ICI, whereas the majority fail to do so. The mechanisms underlying such variable responses remain incompletely understood. A better understanding of such mechanisms may broaden the spectrum of responding patients and enhance the rate of ICI response. HNSCCs exhibit a high level of genetic heterogeneity, manifested as mutations or amplifications of oncogenes (e.g., PIK3CA) and mutations of tumor suppressor genes (e.g., TP53). The immune tumor microenvironment (TME) of HNSCCs also varies significantly in composition and in relative abundance of distinct immune subsets such as CD8 tumor-infiltrating lymphocytes (TILs) or tumor-associated macrophages (TAMs), which represents a high degree of immunological heterogeneity. Here, we briefly discuss how heterogeneous ICI responses may be attributed to tumor-intrinsic factors, including genetic, transcriptional, and functional variations in tumor cells, and host-intrinsic factors, including cellular composition of the TME (e.g., CD8 TILs and TAMs), and host-intrinsic differences in the T cell receptor (TCR) repertoire of CD8 TILs. We also discuss the potential impact of these factors on designing strategies for personalized immunotherapy of HNSCCs.
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Affiliation(s)
- Zhangguo Chen
- UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jessy John
- UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jing H. Wang
- UPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Immunology, University of Pittsburgh, Pittsburgh, PA, United States
- *Correspondence: Jing H. Wang,
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Garrido-Mesa J, Brown MA. T cell Repertoire Profiling and the Mechanism by which HLA-B27 Causes Ankylosing Spondylitis. Curr Rheumatol Rep 2022; 24:398-410. [PMID: 36197645 PMCID: PMC9666335 DOI: 10.1007/s11926-022-01090-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2022] [Indexed: 11/25/2022]
Abstract
Purpose of Review Ankylosing spondylitis (AS) is strongly associated with the HLA-B27 gene. The canonical function of HLA-B27 is to present antigenic peptides to CD8 lymphocytes, leading to adaptive immune responses. The ‘arthritogenic peptide’ theory as to the mechanism by which HLA-B27 induces ankylosing spondylitis proposes that HLA-B27 presents peptides derived from exogenous sources such as bacteria to CD8 lymphocytes, which subsequently cross-react with antigens at the site of inflammation of the disease, causing inflammation. This review describes findings of studies in AS involving profiling of T cell expansions and discusses future research opportunities based on these findings. Recent Findings Consistent with this theory, there is an expanding body of data showing that expansion of a restricted pool of CD8 lymphocytes is found in most AS patients yet only in a small proportion of healthy HLA-B27 carriers. Summary These exciting findings strongly support the theory that AS is driven by presentation of antigenic peptides to the adaptive immune system by HLA-B27. They point to new potential approaches to identify the exogenous and endogenous antigens involved and to potential therapies for the disease.
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Affiliation(s)
- Jose Garrido-Mesa
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, England
| | - Matthew A Brown
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, England.
- Genomics England, Charterhouse Square, London, EC1M 6BQ, England.
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Aysola V, Abd C, Kuo AH, Gupta N. Ezrin Promotes Antigen Receptor Diversity during B Cell Development by Supporting Ig H Chain Variable Gene Recombination. Immunohorizons 2022; 6:722-729. [DOI: 10.4049/immunohorizons.2100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
Abstract
Abstract
Genome-level rearrangements of Ig genes during B cell development are critical for generation of a diverse repertoire of BCRs that bind to a multitude of foreign Ags and some self Ags. Bone marrow B cell development involves a variety of cell–cell interactions, cell migration, and receptor signaling that likely benefit from the activity of membrane-cytoskeletal reorganizing proteins. However, the specific contribution of such proteins toward BCR repertoire diversification is poorly understood. Ezrin is a membrane-cytoskeletal linker protein that regulates mature B cell activation through spatial organization of the BCR. We employed next-generation sequencing to investigate whether Ezrin plays a role in IgH rearrangements and generation of BCR diversity in developing bone marrow B cells. BCR repertoire development occurred stochastically in B cell progenitors from both control and B cell conditional Ezrin-deficient mice. However, the loss of Ezrin resulted in fewer unique CDRs (CDR3s) in the BCRs and reduced Shannon entropy. Ezrin-deficient pre-B cells revealed similar utilization of joining (J) genes but significantly fewer variable (V) genes, thereby decreasing V-J combinatorial diversity. V-J junctional diversity, measured by CDR3 length and nucleotide additions and deletions, was not altered in Ezrin-deficient pre-B cells. Mechanistically, Ezrin-deficient cells showed a marked decrease in RAG1 gene expression, indicating a less efficient DNA recombination machinery. Overall, our results demonstrate that Ezrin shapes the BCR repertoire through combinatorial diversification.
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Affiliation(s)
- Varun Aysola
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Christina Abd
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Alexander H. Kuo
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Neetu Gupta
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
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Zhuo Y, Yang X, Shuai P, Yang L, Wen X, Zhong X, Yang S, Xu S, Liu Y, Zhang Z. Evaluation and comparison of adaptive immunity through analyzing the diversities and clonalities of T-cell receptor repertoires in the peripheral blood. Front Immunol 2022; 13:916430. [PMID: 36159829 PMCID: PMC9493076 DOI: 10.3389/fimmu.2022.916430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
The adaptive immune system plays an important role in defending against different kinds of diseases, including infection and cancer. There has been a longtime need for a simple method to quantitatively evaluate the potency of adaptive immunity in our bodies. The tremendously diversified T-cell receptor (TCR) repertoires are the foundation of the adaptive immune system. In this study, we analyzed the expressed TCRβ repertoires in the peripheral blood of 582 healthy donors and 60 cancer patients. The TCR repertoire in each individual is different, with different usages of TCR Vβ and Jβ genes. Importantly, the TCR diversity and clonality change along with age and disease situation. Most elder individuals and cancer patients have elevated numbers of large TCRβ clones and reduced numbers of shared common clones, and thus, they have very low TCR diversity index (D50) values. These results reveal the alteration of the expressed TCRβ repertoire with aging and oncogenesis, and thus, we hypothesize that the TCR diversity and clonality in the peripheral blood might be used to evaluate and compare the adaptive immunities among different individuals in clinical practice.
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Affiliation(s)
- Yue Zhuo
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Ping Shuai
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Liangliang Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueping Wen
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Xuemei Zhong
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shihan Yang
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shaoxian Xu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuping Liu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
| | - Zhixin Zhang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
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48
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Burn TN, Miot C, Gordon SM, Culberson EJ, Diamond T, Kreiger PA, Hayer KE, Bhattacharyya A, Jones JM, Bassing CH, Behrens EM. The RAG1 Ubiquitin Ligase Domain Stimulates Recombination of TCRβ and TCRα Genes and Influences Development of αβ T Cell Lineages. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:938-949. [PMID: 35948399 PMCID: PMC9492648 DOI: 10.4049/jimmunol.2001441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 06/29/2022] [Indexed: 01/04/2023]
Abstract
RAG1/RAG2 (RAG) endonuclease-mediated assembly of diverse lymphocyte Ag receptor genes by V(D)J recombination is critical for the development and immune function of T and B cells. The RAG1 protein contains a ubiquitin ligase domain that stabilizes RAG1 and stimulates RAG endonuclease activity in vitro. We report in this study that mice with a mutation that inactivates the Rag1 ubiquitin ligase in vitro exhibit decreased rearrangements and altered repertoires of TCRβ and TCRα genes in thymocytes and impaired thymocyte developmental transitions that require the assembly and selection of functional TCRβ and/or TCRα genes. These Rag1 mutant mice present diminished positive selection and superantigen-mediated negative selection of conventional αβ T cells, decreased genesis of invariant NK T lineage αβ T cells, and mature CD4+ αβ T cells with elevated autoimmune potential. Our findings reveal that the Rag1 ubiquitin ligase domain functions in vivo to stimulate TCRβ and TCRα gene recombination and influence differentiation of αβ T lineage cells, thereby establishing replete diversity of αβ TCRs and populations of αβ T cells while restraining generation of potentially autoreactive conventional αβ T cells.
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Affiliation(s)
- Thomas N Burn
- Penn Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Division of Rheumatology, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Charline Miot
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Scott M Gordon
- Penn Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Division of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Erica J Culberson
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Tamir Diamond
- Penn Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Portia A Kreiger
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Katharina E Hayer
- Department of Biomedical and Health Bioinformatics, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Anamika Bhattacharyya
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC; and
| | - Jessica M Jones
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC; and
| | - Craig H Bassing
- Penn Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA;
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Edward M Behrens
- Penn Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA;
- Division of Rheumatology, The Children's Hospital of Philadelphia, Philadelphia, PA
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Miyasaka Y, Wang J, Hattori K, Yamauchi Y, Hoshi M, Yoshimi K, Ishida S, Mashimo T. A high-quality severe combined immunodeficiency (SCID) rat bioresource. PLoS One 2022; 17:e0272950. [PMID: 35960733 PMCID: PMC9374221 DOI: 10.1371/journal.pone.0272950] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 05/13/2022] [Indexed: 11/29/2022] Open
Abstract
Immunodeficient animals are valuable models for the engraftment of exogenous tissues; they are widely used in many fields, including the creation of humanized animal models, as well as regenerative medicine and oncology. Compared with mice, laboratory rats have a larger body size and can more easily undergo transplantation of various tissues and organs. Considering the absence of high-quality resources of immunodeficient rats, we used the CRISPR/Cas9 genome editing system to knock out the interleukin-2 receptor gamma chain gene (Il2rg) in F344/Jcl rats—alone or together with recombination activating gene 2 (Rag2)—to create a high-quality bioresource that researchers can freely use: severe combined immunodeficiency (SCID) rats. We selected one founder rat with frame-shift mutations in both Il2rg (5-bp del) and Rag2 ([1-bp del+2-bp ins]/[7-bp del+2-bp ins]), then conducted mating to establish a line of immunodeficient rats. The immunodeficiency phenotype was preliminarily confirmed by the presence of severe thymic hypoplasia in Il2rg-single knockout (sKO) and Il2rg/Rag2-double knockout (dKO) rats. Assessment of blood cell counts in peripheral blood showed that the white blood cell count was significantly decreased in sKO and dKO rats, while the red blood cell count was unaffected. The decrease in white blood cell count was mainly caused by a decrease in lymphocytes. Furthermore, analyses of lymphocyte populations via flow cytometry showed that the numbers of B cells (CD3- CD45+) and natural killer cells (CD3- CD161+) were markedly reduced in both knockout rats. In contrast, T cells were markedly reduced but showed slightly different results between sKO and dKO rats. Notably, our immunodeficient rats do not exhibit growth retardation or gametogenesis defects. This high-quality SCID rat resource is now managed by the National BioResource Project in Japan. Our SCID rat model has been used in various research fields, demonstrating its importance as a bioresource.
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Affiliation(s)
- Yoshiki Miyasaka
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
| | - Jinxi Wang
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Kosuke Hattori
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Yuko Yamauchi
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Miho Hoshi
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Kazuto Yoshimi
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Saeko Ishida
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Tomoji Mashimo
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Suita City, Osaka, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
- * E-mail:
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50
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Guevara-Hoyer K, Fuentes-Antrás J, de la Fuente-Muñoz E, Fernández-Arquero M, Solano F, Pérez-Segura P, Neves E, Ocaña A, Pérez de Diego R, Sánchez-Ramón S. Genomic crossroads between non-Hodgkin’s lymphoma and common variable immunodeficiency. Front Immunol 2022; 13:937872. [PMID: 35990641 PMCID: PMC9390007 DOI: 10.3389/fimmu.2022.937872] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/07/2022] [Indexed: 12/03/2022] Open
Abstract
Common variable immunodeficiency (CVID) represents the largest group of primary immunodeficiencies that may manifest with infections, inflammation, autoimmunity, and cancer, mainly B-cell non-Hodgkin’s lymphoma (NHL). Indeed, NHL may result from chronic or recurrent infections and has, therefore, been recognized as a clinical phenotype of CVID, although rare. The more one delves into the mechanisms involved in CVID and cancer, the stronger the idea that both pathologies can be a reflection of the same primer events observed from different angles. The potential effects of germline variants on specific somatic modifications in malignancies suggest that it might be possible to anticipate critical events during tumor development. In the same way, a somatic alteration in NHL could be conditioning a similar response at the transcriptional level in the shared signaling pathways with genetic germline alterations in CVID. We aimed to explore the genomic substrate shared between these entities to better characterize the CVID phenotype immunodeficiency in NHL. By means of an in-silico approach, we interrogated the large, publicly available datasets contained in cBioPortal for the presence of genes associated with genetic pathogenic variants in a panel of 50 genes recurrently altered in CVID and previously described as causative or disease-modifying. We found that 323 (25%) of the 1,309 NHL samples available for analysis harbored variants of the CVID spectrum, with the most recurrent alteration presented in NHL occurring in PIK3CD (6%) and STAT3 (4%). Pathway analysis of common gene alterations showed enrichment in inflammatory, immune surveillance, and defective DNA repair mechanisms similar to those affected in CVID, with PIK3R1 appearing as a central node in the protein interaction network. The co-occurrence of gene alterations was a frequent phenomenon. This study represents an attempt to identify common genomic grounds between CVID and NHL. Further prospective studies are required to better know the role of genetic variants associated with CVID and their reflection on the somatic pathogenic variants responsible for cancer, as well as to characterize the CVID-like phenotype in NHL, with the potential to influence early CVID detection and therapeutic management.
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Affiliation(s)
- Kissy Guevara-Hoyer
- Cancer Immunomonitoring and Immuno-Mediated Pathologies Support Unit, IdSSC, Department of Clinical Immunology, San Carlos Clinical Hospital, Madrid, Spain
- Department of Clinical Immunology, IML and IdSSC, San Carlos Clinical Hospital, Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University, Madrid, Spain
- *Correspondence: Kissy Guevara-Hoyer,
| | - Jesús Fuentes-Antrás
- Oncology Department, San Carlos Clinical Hospital, Madrid, Spain
- Experimental Therapeutics and Translational Oncology Unit, Medical Oncology Department, San Carlos University Hospital, Madrid, Spain
| | - Eduardo de la Fuente-Muñoz
- Cancer Immunomonitoring and Immuno-Mediated Pathologies Support Unit, IdSSC, Department of Clinical Immunology, San Carlos Clinical Hospital, Madrid, Spain
- Department of Clinical Immunology, IML and IdSSC, San Carlos Clinical Hospital, Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University, Madrid, Spain
| | - Miguel Fernández-Arquero
- Cancer Immunomonitoring and Immuno-Mediated Pathologies Support Unit, IdSSC, Department of Clinical Immunology, San Carlos Clinical Hospital, Madrid, Spain
- Department of Clinical Immunology, IML and IdSSC, San Carlos Clinical Hospital, Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University, Madrid, Spain
| | - Fernando Solano
- Department of Hematology, General University Hospital Nuestra Señora del Prado, Talavera de la Reina, Spain
| | | | - Esmeralda Neves
- Department of Immunology, Centro Hospitalar e Universitário do Porto, Porto, Portugal
- Unit for Multidisciplinary Research in Biomedicine (UMIB), Hospital and University Center of Porto, Porto, Portugal
| | - Alberto Ocaña
- Oncology Department, San Carlos Clinical Hospital, Madrid, Spain
- Experimental Therapeutics and Translational Oncology Unit, Medical Oncology Department, San Carlos University Hospital, Madrid, Spain
| | - Rebeca Pérez de Diego
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University, Madrid, Spain
- Laboratory of Immunogenetics of Human Diseases, IdiPAZ Institute for Health Research, Madrid, Spain
| | - Silvia Sánchez-Ramón
- Cancer Immunomonitoring and Immuno-Mediated Pathologies Support Unit, IdSSC, Department of Clinical Immunology, San Carlos Clinical Hospital, Madrid, Spain
- Department of Clinical Immunology, IML and IdSSC, San Carlos Clinical Hospital, Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University, Madrid, Spain
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